similar to: Converting a string to variable names

Hi, Thanks for your reply. I just came up with another question about a similar but different thing: Say I have a bunch of data.frame variables named P1,P2,P3? I want to assign them row names according to symbols in the first column, and I want to do this using a for loop. How could I accomplish this? for (test_sample in c(1:10)){ +

Hi Ruiyang, I think you want "get": For (index in seq(1,16)){ plot(x=(a given set of value),y=get(paste(?PC?,as.character(index),sep=??))) } On Wed, Nov 15, 2017 at 7:43 AM, ??? <ruiyangliu94 at gmail.com> wrote: > Hi, > Suppose that I want to do a series of plots with the y value for each plot as PC1, PC2, PC3? How could I accomplish this using a for loop? > Suppose the

Hi there! I'm super-happy because I've just finished my semi-auto configurator for Windows machines ^^ I've got a question: must all the users of a VPN share all together their hosts files? i.e. PC1 is linked to PC2 -> PC1 and PC2 must have both /hosts/PC1 and hosts/PC2 PC2 is linked to PC3 -> PC2 and PC3 must have both /hosts/PC2 and /hosts/PC3 Must PC3 have /hosts/PC1

Hello I was wondering if anyone has been able to change the pch value for points in 3dplot()? I am able to change point colors just not symbol types. I have included a portion of my code below. I realize this won't work outside of my script, but thought, maybe there is something obvious that I am doing wrong. Also is it possible to utilize the interactive feature of 3dplot in a

Heloo! I have 3 Vpn with 3 servers! pc1 with debian and adr. for ex. 10.10.10.x pc2 with debian and adr. for ex. 10.10.10.y pc3 with debian and adr. for ex. 10.10.10.z On tinc i have pc1 connect to pc2 and pc3 pc2 connect to pc1 and pc3 pc3 connect to pc1 and pc3 Evrithing works fine but i whant to connect from home to this vpn but at my home i have a pppoe (no ip adr., i have user and pass to

Hi there: I have this configuration: |-----[Server 2] | [Internet]--------[Router]----------[Switch]------------ [Server 1] | |-----[PC1] | |-----[PC2] | |-----[PC3] Server 1 has IP 216.251.XXX.XX1 Server 2 has IP 216.251.XXX.XX2 PC1 has IP 216.251.XXX.XX3 PC2 has IP 192.168.XXX.1 PC3 has IP 192.168.XXX.2 How do I configure shorewall in SERVER 2 to block to/from the Internet Port 22

Hi, I am having difficulty entering a 'programmable' argument into the multinom function from the nnet package. Interactively, I can get the function to work fine by calling it this way: z1=multinom(formula = class.ind(grp[-outgroup])~ (PC1 + PC2 + PC3), data=data.frame(scores)) However I need to be able to change the number of variables I am looking for in 'scores' and so am

Hello, not understanding the output of prcomp, I reduce the number of components and the output continues to show cumulative 100% of the variance explained, which can't be the case dropping from 8 components to 3. How do i get the output in terms of the cumulative % of the total variance, so when i go from total solution of 8 (8 variables in the data set), to a reduced number of

Greets to the list! I am aware that this topic has been discussed several times. And I've read quite some related posts [1]. Yet, can't seem to give a solution to my problem. I have 6 data frames consisting of 6 rows x 7 columns put together from other data.frames. Something like: a b c d e f g v1 # # # # # # # v2 # # # # # # # v3 # # # # # # # v4 # # # # # # # v5 # # # # # # # v6

Hi guys, I am new to R, so sorry if my problem seems trivial. Sometimes I encounter some lists, which I cannot index their components with [ . ] For instance the prcomp() function returns a 'prcomp' object whose components are some 'lists'. the second component is a list that comtains the following: > mylist <- churn[2] > class(mylist) [1] "list" >

Hi R-community, I am doing a PCA and I need plots for different combinations of axes (e.g., PC1 vs PC3, and PC2 vs PC3) with the arrows indicating the loadings of each variables. What I need is exactly what I get using biplot (pca.object) but for other axes. I have plotted PC2 and 3 using the scores of the cases, but I don't get the arrows proportional to the loadings of each variables on

Hi, Suppose I have the following data frame. __BEGIN__ > library(MASS) > data(crabs) > crab.pca <- prcomp(crabs[,4:8],retx=TRUE) > crab.pca$rotation PC1 PC2 PC3 PC4 PC5 FL 0.2889810 0.3232500 -0.5071698 0.7342907 0.1248816 RW 0.1972824 0.8647159 0.4141356 -0.1483092 -0.1408623 CL 0.5993986 -0.1982263 -0.1753299 -0.1435941 -0.7416656 CW

Hi All, I'd like to build a package for the community that replicates the output produced by SAS "proc varclus". According to the SAS documentation, the first few steps are: 1. Find the first two principal components. 2. Perform an orthoblique rotation (quartimax rotation) on eigenvectors. 3. Assign each variable to the rotated component with which it has the higher squared

Deare R users I am new to R. What I want to do is explained below;- I have table called States.Prob which is given below:- This table gives the probabilities of the changes in the swap curve depending on the state of the swap curve. I want to put these probabilities in my dataframe mydata(given after the prob table). Prob of States Changes State1 State2 State3 State4 a

Hi: I have a large dataset mydata, of 1000 rows and 1000 columns. The rows have gene names and columns have condition names (cond1, cond2, cond3, etc). mydata<- read.table(file="c:/file1.mtx", header=TRUE, sep="") I applied PCA as follows: data_after_pca<- prcomp(mydata, retx=TRUE, center=TRUE, scale.=TRUE); Now i get 1000 PCs and i choose first three PCs and make a

Hello I am creating a linear model with the command net5 = lm( X[,1] ~ PrinComp[,1:5]) where my vector PrinComp looks like this > head(PrinComp[,1:5]) PC1 PC2 PC3 PC4 PC5 [1,] 1.8626055 -3.34190998 -0.5448889 2.8296751 0.3994096 [2,] 3.1124144 -1.68113572 1.7187314 -2.0162583 -0.2935675 [3,] 3.3538049 -0.05471002 -2.9385065 0.6921495 -2.2743761 [4,]

Hi everyone, I am doing PCA with labdsv package. I was trying to create a biplot graphs in order to observe arrows related to my variables. However when I run the script for this graph, the console just keep saying: *Error in nrow(y) : element 1 is empty; the part of the args list of 'dim' being evaluated was: (x)* could please someone tell me what this means? what i am doing

Dear Rusers, I have met a difficult problem on explaining the differences of principal component analysis(PCA) between R,S-PLUS and SAS/STATA/SPSS, which wasn't met before. Althought they have got the same eigenvalues, their coeffiecients were different. First, I list my results from R,S-PLUS and SAS/STATA/SPSS, and then show the original dataset, hoping sb. to try and explain it.

Hi. I have an object. I think it is a list. > str(corTFandPCA) num [1:922, 1:5] -0.0226 -0.0504 -0.0208 -0.0582 -0.0257 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:922] "abdomen.2" "abdomimal.3" "abdominal.4" "aberration.5" ... ..$ : chr [1:5] "PC1" "PC2" "PC3" "PC4" ... I want to order it

An embedded and charset-unspecified text was scrubbed... Name: not available URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20091122/6a079ab8/attachment-0001.pl>