similar to: Party plots

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,

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

On Thu, Nov 26, 2015 at 11:45 AM, Peter Stuge <peter at stuge.se> wrote: > Nico Kadel-Garcia wrote: >> > Does that really need a comment? >> >> That is _precisely_ why it needs a comment. It's a selection of a >> particular technology for a particular reason that someone may not >> understand as important > > Not even if they understand what the

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

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

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

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) &&

Hi Manuel, find our SoC proposal below. Best wishes, Torsten & Achim _______________________________________________________________________ Party On! New Recursive Partytioning Tools. Mentor: Torsten Hothorn & Achim Zeileis Short Description: The aim of the project is the implementation of recursive partitioning methods ("trees") which aren't available in R at the

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 havent had the time to look into this further, and since i'm not a much of a C progammer, i'm afraid i might never figure it out so i thought i'd report it here. i'm running icecast 1.3.11 and feeding it with iceS 0.2.2. i've got 7 streams running, each running a different playlist out of my collection in random order. one of the streams runs for a few hours and then

Hi Chris, Yesterday you kindly submitted an answer to my question on modelling many to many relationships. I''ve briefly tried the proposed solution but so far with no luck. Before I get too involved - I''d like to know if mapping three way :join_tables is "legal" in a Rails sense. I only ask since you put (untested) in your mail and I can''t find any docs on

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 | | |

On Wed, Nov 25, 2015 at 12:20 PM, Philip Hands <phil at hands.com> wrote: > Nico Kadel-Garcia <nkadel at gmail.com> writes: >> What seems to be missing in the patch is a comment line, above the >> stanza, explaining why the code uses "exec". > > My reading of the presence of "exec" there was: > > We're assuming that the current

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

Hi, I''m trying to figure the most efficient way to model the following. I can think of at least two ways to relate the tables but from a client/server perspective! I''m wondering how to best (and elegantly)relate them from an AR perspective. A project has many people, A person can work on many projects at any time, A project has many roles, A role is performed by a person, A

Hi all, I was just made aware of this: <http://www.codeigniter.com> I wonder where the inspiration comes from? Lots of very similar concepts there ;) I''ve only watched the intro movie so far, but very interesting. jt

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

Chris, Finally got time to fully play with your suggestions. Had to re-code a bit of stuff but the concept works - just like a bought one :~). Many thanks for the solution, Kind Regards, Eric. For those curious - here''s what it was about; On Monday 02 January 2006 02:10, Eric Sloane tried to type something like: > Hi, > I''m trying to figure the most efficient way to