Description
draw onepart
model.
Novice users should userpart.plot
instead, it provides a simplified interface to this function.
For an overview, see the marker on the packagePlotting rpart trees with the rpart.plot package.
The arguments of this function are a superset of those ofrpart.plot
and some of the arguments have different default values. In detail, the different standards are:
| | rpart.plot | | | prp | | | |
type | | | 2 | | | 0 | | |
extra | | | "auto" | | | 0 | | |
fallen leaves | | | TRUE | | | FALSE | | |
bulls | | | 0 | | | -8 | | |
face | | | 0 | | | 3 | | |
box.pallet | | | "auto" | | | 0 | | |
The defaults are different for historical reasons: For backward compatibility, the defaultsprp
have not changed, while the default values ofrpart.plot
they changed whentype="automatic"
ybox.pallet
they were introduced in version 2.0.0 of this package.
Use
prp(x=stop("no 'x' arg"), type=0, extra=0, under=FALSE, fall.leaves=FALSE, nn=FALSE, ni=FALSE, yesno=TRUE, branch=if(fallen .hojas) 1 mais .2, uniform=TRUE, left=TRUE, xflip=FALSE, yflip=FALSE, digits=2, varlen=-8, faclen=3, roundint=TRUE, cex=NULL, tweak=1, clip .facs=FALSO, clip.right.labs=TRUE, compress=TRUE, ycompress=uniforme, Margin=0, space=1, gap=NULL, snip=FALSE, snip.fun=NULL, trace=FALSE,box.col=0, box.palette=0, pal.thresh=NULL, pal.node.fun=FALSE, border.col=col, round=NULL, leaf.round=NULL, shadow.col=0, prefix= "", sufijo="", xsep=NULO,
low.percentage=2, low.font=fonte, low.col=1, low.cex=.8,
split.cex=1, split.font=2, split.family=familia, split.col=1, split.box.col=0, split.border.col=0, split.lty=1, split.lwd= NULL, split.round=0, split.shadow.col=0, split.prefix="", right.split.prefix=NULL, split.suffix="", right.split.suffix=NULL, facsep=", ", eq=" = ", lt=" < ", ge=" >= ",
branch.col=if(is.zero(branch.type)) 1 else "gray", branch.lty=1, branch.lwd=NULL, branch.type=0, branch.tweak=1, min.branch.width =.002, sucursal.rellenar=sucursal.col,
nn.cex=NULL, nn.font=3, nn.family="", nn.col=1, nn.box.col=0, nn.border.col=nn.col, nn.lty=1, nn .lwd=NULL, nn.round=.3, sim.text="si", no.text="não",
nodo.fun=NULL, split.fun=NULL, FUN="texto",
nspace=branch, minbranch=.3, do.par=TRUE, add.labs=TRUE, clip.left.labs=(type == 5), fam.main="", yshift=0, yspace=space, shadow .offset=.4, split.adj=NULL, split.yshift=0, split.space=espacio, split.yspace=yspace, split.shadow.offset=shadow.offset, nn.adj=.5, nn.yshift =0, nn.space=.8, nn.yspace=.5, ygap=gap/2, under.ygap=.5, yesno.yshift=0, xcompact=TRUE, ycompact=uniforme, xcompact.ratio=.8 , min.inter.height=4, max.auto.cex=1, min.auto.cex=.15, ycompress.cex=.7, accept.cex=1.1, shift.amounts=c(1.5, 2), Fallen.yspace=.1, boxes.include.gap=FALSE, legend.x=NULL, legend.y=NULL, legend.cex=1, ...)
arguments
x
Epart
object. The only argument needed.
type
Plot type. Possible values: 0By default. Draw a slice label on each slice and a node label on each leaf. 1Label all nodes, not just the leaves. Similar to 2As 3Draw separate division labels for the left and right directions. 4As 5Returns the name of the variable split into the inner nodes.text.rpart
ofall = TRUE
.1
but draw the division labels below the node labels. Similar to plots in the CART book.3
but label all nodes, not just the leaves. Similar totext.rpart
offancy = TRUE
. See tooclip.right.labs
.
extra
Show additional information about us. Possible values: "auto"(case insensitive) Automatically select a value based on the model type as follows: 0By default. No additional information. 1Show the number of observations that fall into the node (by class for 2Class Models: Displays the classification rate in the node, expressed as the number of correct classifications and the number of observations in the node. Poisson and exp models: shows the number of events. 3Class models: misclassification rate at the node, expressed as the number of misclassifications and the number of observations at the node. 4Class models: probability by class of observations at node (conditional at node, sum at node is 1). 5Class templates: how 6Class models: second class probability only. Useful for binary responses. 7Class templates: how 8Class models: the probability of the adjusted class. 9Class models: the probability relative toallobservations: the sum of these probabilities across all worksheets is 1. This contrasts with the previous options, which give the probability relative to observations fallingno no-- the sum of probabilities at the node is 1. 10Class templates: I like 11Class templates: I like +100To add Note: On the contraryadditional=106
class template with a binary responseadditional=104
class template with a response that has more than two levelsadditional=100
other modelsclassroom
objects; preceded by the number of events forpoison
yExp
models). similar totext.rpart
ofuse.n=TRUE
.4
but it doesn't show the adjusted class.6
but it doesn't show the adjusted class.9
but it only shows the probability of the second class. Useful for binary responses.10
but it doesn't show the adjusted class.100
to any of the above to also display the percentage of observations in the node. For exampleadditional=101
displays the number and percentage of observations in the node. It is actually a percentage weighted using thepesos
step topart
.text.rpart
, by defaultprp
it uses its own routine to generate node labels (not the function attached to the object). see thenode.fun
argument.
low
Applies only ifadditional > 0
. by defaultFALSE
, which means to put the extra textemBox. WearTRUE
put the textlowBox. See toobajo.cex
.
fallen leaves
by defaultFALSE
. ETRUE
, place the leaf nodes at the bottom of the graph.
nn
Show node numbers. by defaultFALSE
. (In the current implementation, some overplot may occur withnn=TRUE
.)
em
Returns the node indices, that is, the row numbers of the nodes in the object.Marco
. by defaultFALSE
.
but
One of0Do not writeSim
yNo
on the tree1(default) writeSim
yNo
in the first division2to writeSim
yNo
in all divisions. It seems to work better withfall.leaves=TRUE, split.border.col=1
. (Hebut
the argument is ignored iftype=3
o4
. To usenn.col
and the othernn
parameters to change the color, etc. from theSim
yNo
text. To useyes.text
yno text
to change the actual text displayed).
rama
Controls the shape of branches. Specify a value between0
(V-shaped branches) and1
(branches with square shoulders). The default isif(fallen.hoaves) 1 else .2
.
uniform
ETRUE
(default), the vertical spacing of the nodes is uniform. YesFALSE
, the nodes are spaced proportionally to the fit (more precisely, to the difference between the deviation of a node and the sum of the deviations of its two children). Very small vertical spaces are automatically artificially expanded to make room for labels, seemining industry
. To use:uniform=FALSE
swindlercex=NULL
(the default) can sometimes cause text to be too small.
left
by defaultTRUE
, which means that the left side of a split is the path taken if the split condition is true. Withleft=FALSE
the division labels are changed so that the right side is true.
turn x
by defaultFALSE
. ETRUE
, flips the tree horizontally.
to turn
by defaultFALSE
. ETRUE
, turn the tree vertically so that the root is at the bottom.
digits
The number of significant digits in the displayed numbers. by default2
. E0
, to usegetOption("digits")
. If negative, use default.Format
function (with the absolute value ofdigits
). Whendigits
is positive, the following details apply:0,001
a9999
are printed without exponent (and the number of digits is just a suggestion, seeFormat
for details). Numbers outside this range are printed with an "engineering" exponent (a multiple of 3).
bulls
Length of variable names in sliced text (and, for class responses, the class in the node label). by default 0use full names. greater than 0to call less than 0truncate variable names to the shortest length where they are still unique, but never truncate them to shorter than-8
, which means truncate to eight characters. Possible values:abbreviate
with the dicebulls
.abdomen
.
face
Length of factor level names in splits. by default3
, meaningabbreviate
to three characters. Possible values are likebulls
above, except that for backwards compatibility withtext.rpart
the special value1
means to represent the factor levels with alphabetic characters (a
for the first level,b
for the second, etc.).
redondo
Eroundint=TRUE
(default) and all values of a predictor in the training data are integers, divisions for that predictor are rounded to integers. For example, showbrothers < 3
rather thansiblings < 2.5
. Eroundint=TRUE
and the data used to build the model is no longer available, a warning will be issued. Dressinground=FALSE
is recommended if non-integer values are actually possible for a predictor, even if all values in the training data for that predictor are integers.
boss
by defaultNULL
, which means calculate the text size automatically. Because font sizes are discrete, theboss
you ask may not be exactly theboss
you can.
retouch
Adjust o (possibly calculated automatically)boss
. Usingretouch
it's usually easier than specifyingboss
. the default valueretouch
es1
, which means that there is no fit. use sayadjust = 1,2
to make the text 20% larger. Because font sizes are discrete, a small change in the setting might not change the font size or change it more than you want.
clip.facs
by default Another example: printingFALSE
.ETRUE
, print divisions on factors likefemale
rather thangender = female
; variable name and equal values are removed.survived
odied
instead ofsurvived = survived
osurvived = died
.
clip.right.labs
Applies only iftype=3
o4
. The default isTRUE
what does it mean to "cut off" the right split labels i.e. do not printvariables=
. See tooclip.left.labs
.
compress
ETRUE
(default), free up more space by moving the nodes horizontally where space is available. This usually allows for larger text. (This is the same asparcel.rpart
the argument of the same name, except that here the default value isTRUE
.)
and compress
ETRUE
(the default, unlessuniform=FALSE
), free up more space by moving labels vertically where space is available. This actually only fires if the initial is calculated automaticallyboss
It is less than0,7
. To useandcompress=FALSE
if you think the resulting screen is too messy. In the current implementation, the scrolling algorithm works a little better (allowing for larger text) withtype=1
,2
, o3
.
Margin
Extra white space around the tree, as a fraction of the graph's width. by default0
, which means there is no additional space. To add, say, 10% space around the tree, useMargin = 0.1
. (This is himmargin
argument fromparcel.rpart
. Name changed to avoid partial matches withMarch
, which can be passed as an argument ....)
space
Horizontal space to the edge of the box on either side of the node label text, in character widths. by default1
. Use this (andand space
) for larger boxes. As this affects the size of the (possibly invisible) boxes, it also affects the chart layout and therefore also the automatic calculation ofboss
.
gap
Minimum horizontal space between (possibly invisible) boxes, in character widths. by defaultNULL
, which means automatically choosing a suitable value (usually1
, but if the graph is too full it will be set to0
, allowing the boxes to touch each other to allow greaterboss
). See toospace
.
clipping
by defaultFALSE
. To placeTRUE
to clip the tree interactively with the mouse. see thepacking label(or just try).
cutout.fun
Function called after each mouse click when The following controls the node labels.trim=TRUE
. by defaultNULL
, which means it has no function. otherwise setcutout.fun
for your own function with the prototypefunction (tree)
, wheretree
it is the cut tree. see thepacking labelFor example.
trail
by defaultFALSE
. To useTRUE
print the calculation automaticallyboss
,xlim
, yousuperior
. Use integer values greater than 1 for more detailed tracing.
caja.col
Color of the boxes around the text. by default0
, which means to use the background color. If this argument is used, thebox.pallet
the argument is ignored.
box.pallet
Palette for coloring the node boxes according to the adjusted value. This is a vector of the special value the special value Otherwise, specify apreset palettephysical education. Prefix the palette name with Hecores
,For examplebox.palette=c("verde", "verde2", "verde4")
Small fitted values are displayed in color at the beginning of the vector; large values with colors at the end. Quantiles are used to divide the fitted values.box.pallet=0
(default toprp
) uses the background color (usually white).box.pallet="carro"
(default torpart.plot
, case insensitive) automatically selects a predefined palette based on the model type.box.palette="Grises"
for the default gray palette (a range of grays). The predefined palettes are (seeshow.prp.palettes
Function):grises
grises
Vegetables
Blues
chestnuts
oranges
red
purple
Gy
gn
That's it
thousand millions
O
two
PU
(alternate names for the palettes above)this avg
GnRd
buor
etc (two-color divergent palettes: any combination of two of the above palettes)RdYlGn
GnYlRd
BlGnYl
YlGnBl
(three color palettes)"-"
to reverse the order of the colorsse.p.box.pallet="-auto"
obox.palette="-Grises"
.box.pallet
the argument is ignored if thecaja.col
the palette argument is specified.
amigo.thresh
Applies when For example, to display fitted values less than 90 in blue tones and values greater than 90 in green tones, use by default Node boxes for fitted values less than the threshold are displayed using colors from the first subpalette; node boxes for fitted values greater than the threshold are displayed using colors from the second subpalette. This argument is ignored ifbox.pallet
is a divergent palette of two colors (likethis avg
). Specifies the response threshold for splitting the two subpalettes (such asThat's it
ygn
).pal.thresh=90
swindlercaja.paleta="BuGn"
.amigo.thresh
is calculated automatically. (For a two-class response, the default limit is0,5
; for a continuous response, the default is the adjusted median value).box.pallet
it is not a divergent palette of two colors and is ignored for models with multiclass responses (more than two classes).
friend.no.fun
Specifies how the The default is E This argument is ignored ifbox.pallet
argument is handled when thenode.fun
the argument is specified.FALSE
What does ignore mean?node.fun
and use the adjusted value to select the color of the nodebox.pallet
like always.TRUE
, use the label returned by the node function (instead of the wrapped value) to select the color. The first number of each label returned by the node function is used, ignoring any leading non-numeric text in the label. An error message will appear. issued if a label does not include a number.node.fun
unspecified and ignored for models with multiclass responses (more than two classes).
frontera.col
Border color of the box around the text. by defaultcolumn
, the color of the text in the box. Wear0
by no borders. (Observation:par
tweaks likecolumn
can be passed as ... arguments. If that does not happen,by("col")
if one.)
redondo
Controls the roundness of the corners of node boxes. by defaultNULL
, which means calculate automatically. Otherwise, specify0
for sharp edges and values greater than0
for rounded edges. Bigger is rounder. Values that are too large for the box size are reduced silently.
round sheet
Controls the roundness of the corners of leaf node boxes. by defaultNULL
what does use meanredondo
. Otherwise, specify a value greater than or equal to0
.
shadow.col
Shadow color under the boxes. by default0
, without shadow. To try"gris"
o"dark grey"
. (Note: Shadow overlays look better on supported devicesalfa
channels If you get the message "Warning: semi-transparency is not supported", please let me know; means a fix is needed in the code that determines whether the device supports alpha channels).
prefix
by default""
. Append this string to the node labels. This could be the name of the bundled response, for example.
suffix
by default""
. Add this string to the node labels. Text after a new double line"\n\n"
(if any) will be plottedlowBox. (Actually, double newlines can be used in any of the prefix or postfix arguments for this purpose.)
xsep
A string that separates the individual counts and probabilities into the node labels whenadditional>0
. default NULL means automatic selection: usually" "
(two spaces) but" / "
for fees. Wearxsep="/"
for compatibility withtext.rpart
. See toofacsep
, which separates factor levels into split labels.
low.percentage
Check for blank spaces before the percentage (when 100 is used with the The following controls the text below the boxes.(applies only ifextra
argument). One of0put a space before the percentage1put a new line before the percentage2(default) Automatically chooses a space or newline before the percentage.low = TRUE
or is there a new double line\n\n
emprefix
osuffix
).
low font
Text font below the image. by defaultsource
(which can be passed as an argument...).
bajo.col
Text color below the box. by default1
.
bajo.cex
Size of the text below the box relative to the text in the box. by default The following controls split the labels..8
, smaller than the text in the box.
split.cex
Split text size relative toboss
(which is automatically calculated by default). by default1
.
split.source
Font for split labels. by default2
, audacious. (Note: usesource
to change theItlabel text).
divided family
Font family for split labels. by default""
, use something likedivision.family="serif"
. (Nota: usefamily
to change theItlabel text).
split.col
The color of the division label text. by default1
. (Nota: usecolumn
to change theItlabel text).
split.box.col
Color of split boxes. by default0
, which means to use the background color.
split.border.col
Color of split box borders. by default0
, invisible.
dividir.lty
Linetype for split box borders. The default is1
, but the border will be invisible unless you change the defaultsplit.border.col
. (Nota: uselimited
to change theItbox edges.)
divide.lwd
Line width of split box border in relation toboss
(which is automatically calculated by default). The border is invisible by default, see codesplit.border.col.
divide.round
Controls the roundness of the corners of split boxes. by default0
, which means sharp corners. Otherwise, specify a value greater than or equal to0
. Split boxes are invisible by default, seesplit.box.col
ysplit.border.col
).
split.shadow.col
Shadow color under split boxes. by default0
, without shadow.
split.prefix
by default""
. Append this string to split tags.
right.division.prefix
by defaultsplit.prefix
. Append this string to the correct division labels. Applies only whentype=3
o4
.
split.suffix
by default""
. Add this string to the split tags.
direito.split.suffix
by defaultsplit.suffix
. Add this string to the correct split tags. Applies only whentype=3
o4
.
facsep
by default","
. A string that separates factor levels into split labels. See tooxsep
, which separates individual counts whenextra
if one
equivalent
by default" = "
. A string that separates the factor name from the levels in the split labels. The idea is that you can add or remove spaces around the=
, or use words if that suits you.
es
by default" < "
. String representing ``less than'' in division labels.
age
by default The following control the branches." >= "
. String representing ``greater than or equal'' in division labels.
branch. with the
Branch color. by default1
, but set to"gris"
ebranch.type
is different from zero.
rama.lty
branch type by default1
.
rama.lwd
Width of the line of branches in relation to theboss
(which is automatically calculated by default). (Observation:rama.lwd
does not control the width of the ``wide branches'' drawn whenbranch.type
is different from zero.)
branch.type
by default 0The default value. The branches are drawn in the conventional way.1Detour2square (offset)3diversion / nobs4sqrt(deviation/nobs) (the standard deviation when otherwise set Note: with a non-zero0
. If non-zero, draw ``wide branches'', with branch widths proportional to the parameter selected bybranch.type
As follows:method="anova"
)5weight (structure $peso
). This is the number of observations in the node, unlesspart
ofweight
argument was used.6complexity7abs (predicted value)8predicted value - min(predicted value)9constant (to verify the visual perception of the relative width of the branches).branch.type
to its own function. The function must take a single argument.x
(hepart
object) and return a numeric vector of non-negative widths corresponding to the lines inMarco
. verget.branch.widths
in the source code.branch.type
, in the current implementation, therama
the argument will be silently changed to1
(eram > 0,5
) o0
(eram < 0,5
)
branch.tweak
by default1
. Applies only ifbranch.type
is different from zero. Use this argument to scale branch widths, for example,branch.tweak=.5
reduce the width of the branches by half. (By default,prp
normalizes the widths so that the widest branch is one-fifth the width of the patch).
min.branch.width
by default0,002
. Applies only ifbranch.type
is different from zero. The minimum width of a branch, as a fraction of the page width. The width of branches that would be thinner thanmin.branch.width
is stuck Enlargemin.branch.width
if the thinnest branches are too thin on your display device.
branch.fill
Color used to fill in the wide branches. Applies only if The following control node numbers (withbranch.type
is different from zero. by defaultbranch. with the
.nn=TRUE)
.
nn.cex
by defaultNULL
, which means calculating theboss
node numbers automatically. This and the following arguments apply only whennn=TRUE
.
nn.fuente
Origin of node numbers. by default3
, italic.
nn.familia
Font family for node numbers. by default""
.
nn.col
Node number text color. by default1
.
nn.box.col
Color of boxes around node numbers. by default0
, which means to use the background color.
nn.border.col
Box border color around node numbers. by defaultnn.col
.
nn.lty
Node number box border linetype. by default1
.
nn.lwd
Width of the node box border line in relation toboss
(which is automatically calculated by default). by defaultNULL
what does use meanlwd
(which can be passed as an argument...).
nn. redondo
Controls the rounding of the corners of node number boxes. by default.3
, i.e. small corners. Otherwise, specify a value greater than or equal to0
.
yes.text, no.text
Text displayed when Following are the user definable functions.yes=TRUE
. by defaultsim.text="si"
yno.text="no"
.
node.fun
The function that generates the text in the node labels. The default isNULL
, which means using a built-in pattern function toprp
. (This is required for full support ofextra
as described in the section onextra
above.) Otherwise, setnode.fun
for your own function with the prototypefunction(x, labs, digits, varlen)
see thepacking labelfor details. See also thefriend.no.fun
argument.
split.fun
The function that generates the text on the slices. The default isNULL
, which means using a built-in pattern function toprp
. otherwise setsplit.fun
for your own function with the prototypefunction(x, labs, digits, varlen, faclen)
FUNNY
The function that displays text on the screen. by default The following are esoteric parameters, mainly for the graphical layout engine.text
.
No space
Applies only whencompress=TRUE
. by defaultnspace=rama
. The size of the space between a slice and a sheet, relative to the space between the sheets.
mining industry
Applies only whenuniform=FALSE
. by default.3
. The minimum height between levels is fixed atmining industry
times the average distance between levels. Necessary because sometimes a split gives little or no improvement in the deviation, and a distance between levels strictly proportional to the improvement would leave no room for the label.
do for
by defaultTRUE
, which means adjusting theMarch
parameter for the tree to fill the region of the figure. This also definesxpd=NA
. These graphics parameters are restored to their original state beforeprp
exits. If you explicitly defineMarch
oxpd
,prp
will use your configuration regardless of the configuration ofdo for
.
add.labs
by defaultTRUE
, which means to display the labels. YesFALSE
, provides a basic screen similar toparcel.rpart
.
clip.left.labs
Asclip.right.labs
but for the labels on the left. The default isFALSE
. keep in mind thatclip.left.labs
yclip.right.labs
they can be vectors, indexed on the divided number.
fam.principal
Font family for main text. by default""
. The (inconsistent) name was chosen to minimize partial matching withdirector
yfamily
which can be passed as... arguments.
change and
Vertical position of labels, in character heights relative to their default position. by default0
. Negative values move the text down; positive upwards (the box around the text will follow it).
and space
Vertical space to the edge of the box above and below the node label text, at character height. by defaultspace
. See comments forspace
.
shadow.offset
Box shadow offset, in character widths. by default.4
(but the shadow will be invisible unless the default valueshadow.col
Changed).
divide.adj
Horizontal position of split text. In units of string width, as is the convention foradj.
default argumentsNULL
what does use meanadj.
(which by default is0,5
but it can be passed as an argument...). Use values less than/greater than.5
to shift the text left/right (the box around the text will follow).
divide.yshift
Vertical position of split labels, at character heights relative to their default positions. by default0
. Negative values move the text down; positive upwards (the box around the text will follow it). This adjusts the positions of the division labels relative to the node labels. (Wearchange and
if you want to changeboththe division and node labels.)
divide.space
Horizontal space between split label text and box, character width. by defaultspace
. Affects the size of the box drawn around the text. Split boxes are invisible by default (seesplit.box.col
ysplit.border.col
), but nevertheless affect the layout of the graph used in the automatic calculation ofboss
.
divide.yspace
Vertical space between the split label text and the box, at character height. by defaultand space
.
split.shadow.offset
Split box shadow offset, in character widths. by defaultshadow.offset
. (but the shadow will be invisible unless the default valueshadow.col
Changed).
nn.adj
Horizontal position of node label text. by default.5
.
nn.yshift
Vertical position of node numbers, in character heights, relative to their default positions. by default0
.
nn. space
Horizontal space to the edge of the box on either side of the node number text, in character widths. by default.8
.
nn.yspace
Vertical space to the edge of the box above and below the node number text, at character height. by default.5
.
bajo.ygap
Applies if text is drawn below the box (that is, iflow = TRUE
or is there a new double line inprefix
osuffix
). Vertical space (character height) between the bottom edge of the box and the top of the text below the box.
yesno.yshift
Vertical position of "yes" and "no" character heights relative to their default position. by default0
. Applies only whenyes=TRUE
.
ygap
Minimum vertical space between boxes, at character height. by defaultlacuna/2
.
xcompacto
ETRUE
(default) and there is a lot of white space, automatically changexlim
to compress the entire tree horizontally. This is usually only enabled for small trees. (Hexcompacto
yycompact
arguments compress the tree as a whole, while argumentscompress
yand compress
Arguments move parts of the tree into available space.)
ycompact
ETRUE
(default) and there is a lot of vertical space, automatically changesuperior
to compress the entire tree vertically.
xcompact.ratio
by default.8
. Applies only whenxcompact=TRUE
. The maximum possible without overlap is1
, further compacting by.8
usually gives better spacing (gives more space).
min.inter.height
by default4
. Applies only whenycompacto=TRUE
. The minimum height (in character height units) between the lowest label on a layer and the highest label on the layer below.
max.auto.chex
Keep the maximum calculated automaticallyboss
at this default value1
, which means never expandboss
, hire only when necessary.
min.auto.cex
by default.15
. Never scale below this when automatically calculatingboss
, even if there are overlapping labels. (Graph layout algorithm is unstable withboss
is below0,15
-- which means that the size of the automatic type may be smaller than necessary).
ycompress.cex
by default.7
. Applies only whenandcompress=TRUE
. Apply theand compress
algorithm if initial is calculated automaticallyboss
it's smaller than that. The idea is that we don't want to change if we get an acceptable cex without changing. To doInformation
always try to change.
accept.chex
Accept the change only if it causes at least this big improvement inboss
(because we don't want to change if it only gives a small improvement in cex). by default1.1
that is, they require at least a 10% improvement. Wear0
always take turns andInformation
never accept (or useandcompress=FALSE
).
shift.amounts
by defaultc(1.5, 2, 3)
. Forand compress
, choose the bestboss
produced by changing the nodes by these values, in multiples of the box heights (after initial scaling).
Fallen.yspace
Extra space for fallen leaves. by default.1
, which means leaving 10% of the vertical space for fallen leaves. (The nameFallen.yspace
uses capital letters to avoid partial matches withfallen leaves
.)
boxes.include.gap
by defaultFALSE
. Includegap
yygap
when drawing the boxes, for debugging purposes. (To draw the boxes, seecaja.col
,frontera.col
,split.box.col
, yousplit.border.col
.) This argument only affects the way charts are drawn, not the chart layout algorithm in any way. with the idealboss
at least some frames displayed this way will just touch each other (but none will overlap).
legend. x
Applies only to models with a multilevel class response (not binary or anova models, for which no legend is drawn). Legend horizontal position. Usually a value between0
y1
, although values beyond these limits are often useful. The default isNULL
which means automatically placing the subtitle (assuming there is enough space). WearTHAT
by no legend. Weartrace=TRUE
to see the auto-calculated legend position.
legend.y
Aslegend. x
but by the vertical position of the legend.
legend.cex
Aslegend. x
but by the relative size of the caption text. The default is1
.
…
Extrapar
Arguments Only the ``important ones''par
Arguments are allowed. Note that arguments likecolumn
applies only toItlabels. To affect division labels or branch lines, usesplit.col
ybranch. with the
instead of.
Valentina
A list of the following components. With the default arguments, most of them are calculated automatically.
Hepart
object. identical tox
argument passed unlessclipping
used.
the cut knots,NULL
unlessclipping
used.
The limits of the graph.
The coordinates of the node.
The coordinates of the branch.
Node labels.
the node labelboss
.
The coordinates of the boxes around the nodes.
Split labels.
the split labelboss
.
The coordinates of the boxes around the divisions.
See too
The label on the packagePlotting rpart trees with the rpart.plot package rpart.plot
Functions inpart
package:parcel.rpart
text.rpart
part
examples
# NOT RUN {data (ptitanic)tree <- rpart(survived ~ ., data = ptitanic, cp =.02) # cp = .02 because I want a small tree for the demoviejo.par <- par(mfrow =C(2,2)) # put 4 figures on a pageprp(tree, parent ="pattern prp\n(type = 0, extra = 0)")prp(tree, parent ="type = 4, extra = 6\nbox.palette = \"auto\"",type =4, additional =6,# label all nodes, show the second-class problembox.pallet ="auto",# color nodes automatically based on model typefaclen =0)# faclen = 0 to print the full names of the factorscols <- ifelse(tree$frame$yval ==1,"dark red","verde4") # green if you surviveprp(tree, parent ="various arguments",additional =106,# displays probability of survival and percentage of obs.n =TRUE,# display node numbersfallen.leaves =TRUE,# place the worksheets at the bottom of the pageshadow.col ="gris",# shadows under the leavesrama.lty =3,# draw branches using dotted linesrama =.5,# change the angle of the minor linesfaclen =0,# faclen = 0 to print the full names of the factorstrail =1,# print the automatically calculated cex, xlim, ylimdivide.cex =1.2,# make the split text larger than the node textdivide.prefix ="It is",# put "es" before split or textsplit.suffix ="?",# to place "?" after splitting the textcolumn = columns, border. column = columns,# green if you survivedivide.box.col ="light gray",# light gray split boxes (default is white)split.border.col ="dark grey",# dark gray border on split boxesdivide.round =.5)# round the corners of the split box a bit# compare with the trace functions in the rpart packageplot(tree, uniform =TRUE, compress =TRUE, rama =.2)text(tree, use.n =TRUE, cex =.8, xpd =THAT)# cex is a guess, depends on window sizetitle("compare with the plotting functions\in the rpart package", cex.sub =.8)by(old.by)# }
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FAQs
What does prp do in r? ›
The prp function plots rpart trees. It automatically scales and adjusts the displayed tree for best fit. It combines and extends the plot. rpart and text.
What is the rpart method in R? ›Rpart is a powerful machine learning library in R that is used for building classification and regression trees. This library implements recursive partitioning and is very easy to use.
What does rpart plot do in r? ›The easiest way to plot a tree is to use rpart. plot. This function is a simplified front-end to the workhorse function prp, with only the most useful arguments of that function.
What is the default method in rpart? ›The rpart function does cross-validation automatically by default. You then examine the model to see the result of the cross-validation, and prune the model based on that.
What is the purpose of PRP? ›PRP treatment can help support wound healing in trauma and joint injury. The technique can address male pattern baldness, stimulate the growth of hair transplants and enhance other cosmetic procedures.
What is the mechanism of action of PRP? ›Mechanism of action of PRP
It activates cell membrane receptors on target cell which in turn develop high energy phosphate bonds, which activates the signal proteins to initiate specific activity of target cells. These specific activities include mitogenesis, angiogenesis and macrophage activation (Fig. 1).
Like C50, rpart uses a computational metric to determine the best rule that splits the data, at that node, into purer classes. In the rpart algorithm the computational metric is the Gini coefficient.
Does rpart do cross-validation? ›rpart() uses k-fold cross validation to validate the optimal cost complexity parameter cp and in tree(), it is not possible to specify the value of cp.
How do you make a decision tree with rpart? ›- Dataset: ...
- Step 1: Reading the Data; and Sampling Data. ...
- Step 2: Create the Tree. ...
- Queries: ...
- Step 3: Plot the Tree. ...
- Step 4: Test the model. ...
- Step 5: Evaluating the performance of Regression trees. ...
- Step 6: Calculate the Complexity Parameter.
There are three different plotting systems in R and they each have different characteristics and modes of operation. They three systems are the base plotting system, the lattice system, and the ggplot2 system.
How does rpart calculate variable importance? ›
From the rpart vignette (page 12), “An overall measure of variable importance is the sum of the goodness of split measures for each split for which it was the primary variable, plus goodness (adjusted agreement) for all splits in which it was a surrogate.”
How do you visualize a decision tree in R? ›- Step 1: Import the data.
- Step 2: Clean the dataset.
- Step 3: Create train/test set.
- Step 4: Build the model.
- Step 5: Make prediction.
- Step 6: Measure performance.
- Step 7: Tune the hyper-parameters.
Default methods enable you to add new functionality to existing interfaces and ensure binary compatibility with code written for older versions of those interfaces. In particular, default methods enable you to add methods that accept lambda expressions as parameters to existing interfaces.
How many functional interface methods are there by default? ›Conceptually, a functional interface has exactly one abstract method.
Do default methods need to be implemented? ›Default methods are methods that can have a body.
We would need to provide the implementation of that method in all the implementing classes. However, sometimes methods have only single implementation and there is no need to provide their implementation in each class.
PRP calms inflammation
The PRP serum contains 5-10 times more platelets than normal blood. Platelets are cell fragments that are filled with growth factors. Growth factors produce fibroblasts and endothelial cells, which your body uses to subdue inflammation and promote healing.
So far, research shows that it speeds healing after injury or surgery for certain conditions, like torn tendons. In addition to helping injured tissue heal, some studies show PRP injections curb pain and boost mobility for people with rotator cuff injuries.
Why is PRP not recommended? ›While PRP is considered safe for most people, it's not recommended for anyone who has one of the following medical conditions: Hepatitis C. HIV or AIDS. Any type of blood cancer.
Does PRP stimulate stem cells? ›Platelet Rich Plasma has the ability to both increase stem cells and guide them in healing. In initial findings, PRP assisted stem cells in “figuring out” what they needed to be – whether a cartilage cell, or a bone cell, or a collagen cell for ligaments and tendons.
How do you know if PRP is working? ›Depending on your condition, you should see results between 2-6 weeks after receiving a PRP injection. Mild injuries or chronic pain cases typically see results within the first two weeks, while more serious injuries won't be able to appreciate the healing until around a month has passed.
Does PRP activate stem cells? ›
The platelets are re-injected about 5 days later to keep the stem cells activated and trigger the body's healing response and cell regeneration. PRP is beneficial for jumpstarting the body's existing mechanism to heal a damaged tissue that may be stuck.
Which algorithm is best for decision tree? ›The basic algorithm used in decision trees is known as the ID3 (by Quinlan) algorithm. The ID3 algorithm builds decision trees using a top-down, greedy approach.
What is rpart2 vs rpart? ›The “rpart” method consists of tuning the model based on Complexity parameter (cp) or Tree pruning, while “rpart2” method aims to optimize the maximum tree depth parameter (or setting the constraint on tree size).
Which algorithm is better decision tree or random forest? ›Which algorithm is better: decision tree or random forest? A. Random forest is a strong modeling technique and much more robust than a decision tree. Many Decision trees are aggregated to limit overfitting as well as errors due to bias and achieve the final result.
Is cross-validation more reliable than AIC? ›As you stated, if the sample size is not enormous, AIC may be more reliable than cross-validation and is certainly faster. But AIC relies heavily on honesty; you have to be honest in specifying the number of degrees of freedom used in its computation.
Can PCA be used for cross-validation? ›Actually, you very much can apply cross-validation to PCA. With PCA you need to guess how many dimensions (PCs) to retain.
Does cross-validation always prevent overfitting? ›Cross-validation is a robust measure to prevent overfitting. The complete dataset is split into parts. In standard K-fold cross-validation, we need to partition the data into k folds. Then, we iteratively train the algorithm on k-1 folds while using the remaining holdout fold as the test set.
How do you document a decision tree? ›- In your Word document, go to Insert > Illustrations > Shapes. A drop-down menu will appear.
- Use the shape library to add shapes and lines to build your decision tree.
- Add text with a text box. Go to Insert > Text > Text box. ...
- Save your document.
- Define your main idea or question. The first step is identifying your root node. ...
- Add potential decisions and outcomes. Next, expand your tree by adding potential decisions. ...
- Expand until you hit end points. Remember to flesh out each decision in your tree. ...
- Calculate risk and reward.
RStudio has four main panes each in a quadrant of your screen: Source Editor, Console, Workspace Browser (and History), and Plots (and Files, Packages, Help).
What are the five different data structures in R? ›
R's basic data types are character, numeric, integer, complex, and logical. R's basic data structures include the vector, list, matrix, data frame, and factors.
How do I visualize multiple plots in R? ›We can put multiple graphs in a single plot by setting some graphical parameters with the help of par() function. R programming has a lot of graphical parameters which control the way our graphs are displayed. The par() function helps us in setting or inquiring about these parameters.
How accurate is rpart prediction? ›Predictions on test set
100% accuracy on test set. 95% confidence interval (0.9977, 1) for the model accuracy.
A general rule is to view the predictor variable with the largest standardized regression coefficient as the most important variable; the predictor variable with the next largest standardized regression coefficient as the next important variable, and so on.
How do you know which variable is most important predictor? ›Generally variable with highest correlation is a good predictor. You can also compare coefficients to select the best predictor (Make sure you have normalized the data before you perform regression and you take absolute value of coefficients) You can also look change in R-squared value.
Which function is used to plot decision tree in R? ›We will use the ctree() function to create the decision tree and see its graph.
How do you implement a decision tree on a dataset? ›For each attribute in the dataset, the Decision-Tree algorithm forms a node. The most important attribute is placed at the root node. For evaluating the task in hand, we start at the root node and we work our way down the tree by following the corresponding node that meets our condition or decision.
Is it mandatory to override default method? ›If you have default method in an interface, it is not mandatory to override (provide body) it in the classes that are already implementing this interface. In short, you can access the default methods of an interface using the objects of the implementing classes.
Can we override default method of functional interface? ›One of the major reason for introducing default methods in interfaces is to enhance the Collections API in Java 8 to support lambda expressions. If any class in the hierarchy has a method with same signature, then default methods become irrelevant. A default method cannot override a method from java.
What is the difference between default and static methods? ›Default methods enable you to add new functionality to the interfaces of your libraries and ensure binary compatibility with code written for older versions of those interfaces. A static method is a method that is associated with the class in which it is defined rather than with any object.
What are the 4 types of functional interfaces? ›
We will also discuss four types of functional interfaces i.e. Consumer, Predicate, Function (UnaryOPerator and BinaryOperator), and Supplier.
How do I identify a functional interface? ›An Interface that contains exactly one abstract method is known as functional interface. It can have any number of default, static methods but can contain only one abstract method. It can also declare methods of object class. Functional Interface is also known as Single Abstract Method Interfaces or SAM Interfaces.
What are the four types of functional interfaces in Java 8? ›- Consumer – BiConsumer.
- Predicate-BiPredicate.
- Function.
- Unary Operator.
- Binary Operator.
Default methods and abstract methods in interfaces are inherited like instance methods. However, when the supertypes of a class or interface provide multiple default methods with the same signature, the Java compiler follows inheritance rules to resolve the name conflict.
Are default methods always public? ›Like regular interface methods, default methods are implicitly public; there's no need to specify the public modifier.
Can functional interface have only default methods? ›A functional interface can contain default and static methods which do have an implementation, in addition to the single unimplemented method. The above interface still counts as a functional interface in Java, since it only contains a single non-implemented method.
What is PRP in coding? ›Group 1 Codes. Code. Description. G0465. AUTOLOGOUS PLATELET RICH PLASMA (PRP) FOR DIABETIC CHRONIC WOUNDS/ULCERS, USING AN FDA-CLEARED DEVICE (INCLUDES ADMINISTRATION, DRESSINGS, PHLEBOTOMY, CENTRIFUGATION, AND ALL OTHER PREPARATORY PROCEDURES, PER TREATMENT)
When should I do PRP? ›PRP therapy process
Most PRP therapy requires three treatments 4–6 weeks apart. Maintenance treatments are required every 4–6 months.
Platelet Rich Plasma (PRP) is where you have a high concentration of platelets and therefore growth factors, being up to 5 to 10 times greater than in normal blood. PRP is then injected by a Radiologist into the requested body region under ultrasound guidance.
How does PRP work Pubmed? ›Platelet-rich plasma (PRP) is an autologous blood product, obtained after blood centrifugation. PRP is rich in growth factors which promote tissue-healing, alter angiogenesis, and possess versatile immunomodulatory effects, in the relative absence of any significant demonstrable adverse effects.
What is PRP example? ›
Prerequisite Program (PRP) Defined by ISO as the basic conditions and activities necessary to maintain a hygienic environment throughout the food chain which are suitable for the production, handling and provision of safe end products and safe food for human consumption.
What is PRP manual? ›The Environmental Protection Agency's "PRP Search Manual" provides guidance on how to search for potentially responsible parties (PRPs) that may be liable for cleanup at a Superfund site.
What does PRP stand for in manufacturing? ›PRP means Pre Requisite Programmes – (Also includes GMP – Good Manufacturing Practices). PRP is an umbrella term to describe all activities, other than specific HACCP plans, that affect food hygiene, quality and safety. (These activities include pest control and sanitation).
What is the disadvantage of PRP? ›PRP uses your own blood, so experts say it is likely to be safe. However, an injection into the knee joint can entail some risks, including: local infection. pain at the site of injection.
How long does PRP stay active? ›PRP begins working immediately and continues working for up to two months. Patients typically report that their symptoms continue to fade in the months that follow. The benefits last for at least a year, although minor injuries may be cured entirely after one or two treatments.
Who is not a good candidate for PRP? ›- A personal history of active cancer.
- Blood-related conditions, such as severe anemia or leukemia.
- An infection in the treatment area.
- Active smoker.
Blood components such as platelets migrate to the injury site and play an important role in tissue repair. Platelets contain various growth factors and cytokines that initiate and promote healing by stimulating cell migration, cell proliferation, angiogenesis, and matrix synthesis.
How do platelets work in PRP? ›Besides containing clotting factors, the platelets release growth factors and proteins that help start the healing process. PRP contains a concentrated amount of platelets that release potent quantities of these growth factors and proteins to stimulate a robust healing response.
What is the difference between PRP and PRF? ›With PRP, your blood is spun in a centrifuge at high speed, completely separating the plasma layer. With PRF your blood is spun at a lower speed so that some of the white blood cells, stem cells, and fibrin remain in the platelet layer.
Why is PRP controversial? ›Controversies surrounding the procedure centre on conflicting accounts of its efficacy, a lack of standardization when it comes to PRP production and injection protocols and the potential for misleading the general public with celebrity endorsements of a procedure that may implicitly overstate the promise that the ...
Has PRP been proven to work? ›
Platelet-rich plasma has been found to significantly enhance the healing process, and using a PRP injection for shoulder pain caused by rotator cuff tears, for Achilles tendon ruptures and for other soft-tissue injuries is becoming more common.
Does PRP regrow tissue? ›PRP also has the ability to generate new tissue growth. This can be especially useful for degenerative problems, cartilage injuries, surgical heart procedures, muscle strains, tendon damage, fascia irritation, and more.