similar to: dendrogram stops!

Dear I have changed some code in R file inside the stats package (dendrogram.R). Now I wan to test and run the stats package with the new updated code, what should I do in detail? RegardsIbrahim Sobh [[alternative HTML version deleted]]

Hi, ?In the example you provided, it looks like the dates in Date2 happens first.? So, I changed it a bit.? DataA<- read.table(text=" ID,Status,Date1,Date2 ??? ??? ?????? 1,A,3-Feb-01,15-May-01 ??? ??? 1,B,15-May-01,16-May-01 ??? ??? 1,A,16-May-01,3-Sep-01 ??? ??? ??? ??? ??? 1,B,3-Sep-01,13-Sep-01 ??? ??? ??? ??? ??? 1,C,13-Sep-01,26-Feb-04 ??? ??? ??? ??? ???

Hello all, I have a data frame dataa: newdate newstate newid newbalance newaccounts 1 31DEC2001 AR 1 1170 61 2 31DEC2001 VA 2 4565 54 3 31DEC2001 WA 3 2726 35 4 31DEC2001 AR 3 2700 35 The following gives me the balance of state AR:

i am working with two sets of likert scale type (4 distinct values) data: dataA <- rep(1:4, c(3,2,2,4)) dataB <- rep(1:4, c(5,4,3,2)) i can now (bar)plot both of these separately and compare the distributions. plot(table(dataA), type='h') plot(table(dataB), type='h') is there a way to plot both of them in one plot, so that the bars for value "1" (dataA: 3,

Hi everyone, My apologies if this isn?t the right place to submit this?I?m new to the R-devel community and still figuring out what is where. If people want to skip my writeup and just look at the code, I?ve made a repository for it here: https://github.com/ahl27/new_dendrapply/tree/master. I?m not quite sure how to integrate it into a fork of R-devel; the package structure is different from

I would like to merge two dataframes, but i have a condition that needs to used for the merge as well. the rows (observations) in each dataframe are identified by each person's ID and by the date of the observation. Basically I would like it to be merged based on both ID (exact match) and date (a condition where one dataframe's date must be after the other dataframe's date).

Dear useRs, I am working on a project involving the clustering of a large dataset. I need to extract specific sub-clusters from the parent dendrogram for further analysis. The data is too large for the use of convenient tools such as identify.clust (it selects the specific group of interest on a graph), so alternatively I have saved the plot as a large image file so that it can be printed or

Hello, I am a new R user and have a question regarding dendrogram coloring. I would like to color each leaf in the dendrogram (dhc) according to a specific criterion. For me this criterion is the gene name. For this, I created a data.frame with 2 variables: The gene name and the corresponding color. Using the following function, adapted from "dendrapply {stats}", I still have the same

Greetings everyone, I'm trying to add a specific table or a specific number of rows (e.g.44) to a table with no success. This is my basic table > head(dataA) year plot spp prop.B DCA1 DCA2 DCA3 DCA4 1 2000 1 a1 0.031079 -0.0776 -0.0009 0.0259 -0.0457 2 2000 1 a2 0.968921 -0.0448 0.1479 -0.1343 0.1670 3 2000 2 a1 0.029218

Dear All, How can the height of a leaf be extracted from a dendrogram? Sure, I can print it, but I am not able to, say, store it in an object. I think I understand that the height is a property of the split, not the leaf itself, but the printing functions display a "height" or "h" (which changes with "hang") and that is what I want. Obviously, the info is there

Hello, I'm trying to run a lagsarlm (maximum likelihood estimation of a spatial lag model) in the spdep library ; but R gives following error message: Error in solve.default(inf, tol = tol.solve) : system is computationally singular: reciprocal condition number = 4.20137e-12 I get the same message when I try to run de lagsarlm with a bigger data set (4333 regions). The command

In my app, for three models: foo,bar and baz, the database connection is made to a different database and hence in model code: class Foo < ActiveRecord::Base establish_connection :diff_database end class Bar < ActiveRecord::Base establish_connection :diff_database end class Baz < ActiveRecord::Base establish_connection :diff_database end Now, the problem is, if is use the above

Hi all, This is the first time I'm writing to R-devel, and this time I'm just asking for the purpose for a certain line of code in stats::as.hclust.dendrogram, which comes up as I'm trying to fix dendextend. The line in question is at line 128 of dendrogram.R in R-3.3.3, at stats::as.hclust.dendrogram: stopifnot(length(s) == 2L, all( vapply(s, is.integer, NA) )) Is there any

Dear R-Help, I have a clustering problem with hclust that I hope someone can help me with. Consider the classic hclust example: hc <- hclust(dist(USArrests), "ave") plot(hc) I would like to cut the tree up in such a way so as to avoid small clusters, so that we get a minimum number of items in each cluster, and therefore avoid singletons. e.g. in this example, you can see

Hi all, I think I have some problems to use correctly the function dendrapply. Let suppose dend is a dendrogram object. I would likde to know the cardinal number of leaves depending of each node of the tree dend. It is right that the command attr(dend,"members") gives the total number of leaves, and attr(dend[[1]],"members") gives the number of leaves for the first left

It is A Good Thing to regularize Authors and Maintainers of packages, particularly for citation() and toBibTex(). Could I add a suggested TODO item for the maintainer of package.skeleton and friends to help reinforce this for new packages: - Please add appropriate templates for Author at R in the skeleton DESCRIPTION file generated, indicating the proper format as well as the use of role= to

I have tried to use rect.hclust() to draw a rectangle around a set of leaves, but am running into trouble. The rect.hclust() is drawing two rects instead of one, and of the wrong size: -------------------- scoreClusterObj <- hclust(scoreDistanceObj, method=clustMethod) order <- scoreClusterObj$order orderedLabels <- rep(0, length(order)) for (orderIndex in 1:length(order)) { # this

I have just tried to update the version of R on our system, and when I did ``make'', I got the following error message: ===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+=== gcc -I. -I../../src/include -I../../src/include -DHAVE_CONFIG_H -g -O2 -c platform.c -o platform.o In file included from /usr/include/netinet/in.h:41, from

Hello, I've been using ctree and have developed a 55 node - 28 terminal solution. As can be imagined, the plot is difficult to travel down each of the major branches. I've read the help files for ctree I saw where terminal nodes can be color coded. plot(airct, type = "simple") > plot(airct, terminal_panel = node_boxplot(airct, col = "blue", + fill = hsv(2/3,

I would like to be able to exert certain types of control over the plotting of dendrograms (representing hierarchical clusterings) that I think is best achieved by modifying the dendrogram object prior to plotting. I am using the "dendrogram" class and associated methods. Define the cluster number of each cluster formed as the corresponding row of the merge object. So, if you are