search for: partykit

Hi All, I'm a newcomer to the R community, just started learning R. I need to use partykit for developing CART. But I'm not getting any document/help for using partykit/rpart. http://www.agrocampus-ouest.fr/math/useR-2009/slides/Hothorn+Zeileis.pdfgives some example, but it doesn't tell how my own data should be formatted so that it can be accepted by partykit. Example, data(&qu...

New package `partykit': A Toolkit for Recursive Partytioning The purpose of the package is to provide a toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. Thus, the focus is not on _inferring_ such a tree structure from data but to _repre...

New package `partykit': A Toolkit for Recursive Partytioning The purpose of the package is to provide a toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. Thus, the focus is not on _inferring_ such a tree structure from data but to _repre...

When plotting Binary Trees (ctree) from the party package, is there a way to adjust the font sizes of the leaves? require(party) irisct <- ctree(Species ~ ., data = iris) plot(irisct) I want to adjust the font sizes for "Node 2", "Node 5", etc. I'd also like to be able to adjust the font sizes for the x-axis and y-axis labels of the histograms. Thanks,

Ah yes I will have to use the predict function. But the predict function will not get me there really. If I can take the example that I have a model predicting whether or not I will play golf (this is the dependent value), and there are three independent variables Humidity(High, Medium, Low), Pending_Chores(Taxes, None, Laundry, Car Maintenance) and Wind (High, Low). I would like rules like

Hi Kurt, Thank you for fixing quantile(). However, do you think c.factor() can potentially break more functions? For example, with this new change, classification from the partykit package using predict() comes back NA because of this: https://github.com/cran/partykit/blob/597245ef3dfc98411ce919b74c68ba565f077c47/R/party.R#L500 I understand that most of the fixes will probably be simple with as.numeric() or as.integer(), but tracing down these breaks can be time-consuming &...

Hola, ¿cómo están? Soy estudiante de Ing. en Sistemas de Información y estoy cursando la materia Tecnologías para la Explotación de Datos. Me he decidido a usar R para hacer DM. Estoy recién comenzando con ambos. El asunto es que no he encontrado la implementación en R de uno de los algoritmos que dimos para árboles de decisión, ID3. Ya revisé varios de los paquetes para DM

...d be predicted in each leaf of an rpart tree. Similarly, implementations of new tree algorithms might also require new infrastructure if they have features not available in the above-mentioned packages, e.g., multi-way splits or more complex models in the leafs. To overcome these difficulties, the partykit package has been started on R-Forge. It is still being developed but already contains a stable class "party" for representing trees. It is a very flexible class with unified predict(), print(), and plot() methods, and can, in principle, capture all trees mentioned. But going beyond that,...

Hello everybody I'm having some difficulties to design the decision tree algorithm J48. I am using the following code and when I run it gives me the following message plot(m1) Error in plot.Weka_tree(m1) : Plotting of trees with multi-way splits is currently not implemented. #The code library(RWeka) library(randomForest) library(party) if(require(mlbench, quietly = TRUE) &&

I am receiving the following error while executing KLdiv method: kl<-KLdiv(y) Error in function (classes, fdef, mtable) : unable to find an inherited method for function "KLdiv", for signature "data.frame" the code is as follows: require(flexmix) KLdiv(y) the object y (snippet, actual object contains 188 entries) is as follows: s1p5 s2p5 1 0.6 0.8 2 0.8

Hi, In R-devel (2020-05-17 r78478) quantile() type 1 seems to behave a little bit strange for some ordered factors: quantile(factor(1:3, ordered = TRUE), 0.5, type = 1) returns ?2? as expected. But quantile(factor(2:4, ordered = TRUE), 0.5, type = 1) returns ?4? and quantile(factor(3:5, ordered = TRUE), 0.5, type = 1) returns ?NA?. Furthermore, the function returns ?NA? for calls like

I'm pretty new to R, and not much of a progammer (yet). I'm having trouble navigating the graphical output for the party algorithm. Essentially, my tree is too large for the default page size so the nodes overlap and obscure one another. Anybody know how to change the plot parameters to either: 1) enlarge the page size so the default font fits comfortably (preferred); 2)

Hai Can someone tel me whether it is possible to force in Variables at various levels of the tree in CART. I have been using RPART for CART which comes with PARTYKIT package (is this package good for CART or is there any other better package?). I am facing a problem with the tree it generates, it picks up variables which don''t make much sense. I want it to pick up few vars at few levels. Can someone please help me out in this regard. Its urgent....

Hello everybody. I'm trying to send the result of a decision tree for latex, but I do not get with the package(xtable), there is a package that make this export Export this for latex marital.status = Divorced | educational.num <= 12: <=50K (1795.0/90.0) | educational.num > 12 | | hours.per.week <= 41: <=50K (302.0/58.0) | | hours.per.week > 41 | | |

I run the following code: library(rpart) data(kyphosis) fit <- rpart(Kyphosis ~ ., data=kyphosis) plot(fit) text(fit, use.n=TRUE) The text labels represent the count of each class at the leaf node. Unfortunately, the numbers are rounded and in scientific notation rather than the exact number of examples sorted by that node in each class. The plot is supposed to look like

Dear useRs: I try to plot an rpart object but cannot get a nice tree structure plot. I am using plot.rpart and text.rpart (please see below) but the branches that connect the nodes overlap the text in the ellipses and rectangles. Is there a way to get a clean nice tree plot (as in the Rpart Mayo report)? I work under Windows and use R2.11.1 with rpart version 3.1-46. Thank you. Tudor ...

I am trying to use the CART in a survival analysis. I have three variables of interest (all 3 ordinal - x, y and z, each of them with 5 categories) from which I want to make smaller groups (just an example 1st category from X variable with the 2nd and 3rd categories from the Y category and 2, 3 and 4 categories from the Z category etc) based on their, let's say, association with mortality. Now

I'm hoping that folks out there with expertise in working with the party package can help me out here. My team is trying to convert party tree output into a text file format that can be read by our image processing software. We are running into difficulties because the way the two different programs identify their nodes is different. R numbers it's nodes 1, 2, 3, 4, 5, 6 etc. down the

Hi all, I have a package that is specific to a task I was repetitively using a few years ago. I now needed to run it again with new data. However I am told it was built with an older version or R and will not work. How can I tweak the package so it will run on 11.1? It was a one-off product and has not been maintained. Is there a way to "unpackage" it and repackage it to work? I

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):