similar to: apply and factor

Hi there Probably a very simple solution to this problem. I have a character vector eg c("name1","name2","name3") and I want to pull out these columns from a data.frame, converting each of these columns into factors also. Many thanks Rachel -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I am wanting to create a model matrix and keep the NAs. stratmat <- model.matrix(myformula,mydata) Is there any way to do this? model.matrix doesn't have na.action as a parameter. Elsewhere I have made use of na.keep <- function(x){x}. Many thanks, Rachel Cunliffe -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I have a data.frame as follows: a 3 a 2 a 1 b 3 b 2 c 2 c 3 c 1 c 1 Each factor (a, b, c) should be monotonically decreasing, notice that factor 'c' is not. I could use some help to figure out how to form a logical structure (mostly just syntax), that will check each 'next value' for each factor to see if it is less than the previous value. If it is less than the

Hi there, I am wanting to create 8 side-by-side histograms which have been rotated 90 degrees clockwise from how they usually sit.. all with the same scales. Is someone able to help me out? Thanks so much, Rachel Cunliffe -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Hi Just noticed that the windows() function doesn't seem to allow for decimals in the width and height options. For example, typing: > windows(5,4,10) > windows(5.2,4,10) > windows(5.4,4.3,10) produces three equally sized windows. Is there a way to get around this and create more accurately sized windows without having to resize by hand? Thanks Rachel Cunliffe Department of

Hello everyone, I've come up with a problem with using paste() inside apply() that I can't seem to solve. Briefly, if I'm using paste to collapse the rows of a data frame, AND the data frame contains strings with spaces, AND there are NA values in subsequent columns, then paste() introduces spaces. This only happens with that particular combination of data values and commands. I have

Hi List I have data in the following form: Gene    TFBS NUDC     PPARA(1) HNF4(20) HNF4(96) AHRARNT(104) CACBINDINGPROTEIN(149) T3R(167) HLF(191) RPA2     STAT4(57) HEB(251) TAF12     PAX3(53) YY1(92) BRCA(99) GLI(101) EIF3I     NERF(10) P300(10) TRAPPC3     HIC1(3) PAX5(17) PAX5(110) NRF1(119) HIC1(122) TRAPPC3     EGR(26) ZNF219(27) SP3(32) EGR(32) NFKAPPAB65(89) NFKAPPAB(89) RFX(121)

Hi, I am very new to R. I am trying to perform an Anova Test and see if it differs or not. Basically, i have 4 tests and 1 control. Tester Test1 Test2 Test3 Test4 Control 20 25 15 10 17 The inference is at alpha=0.05. they are all independent. I am trying to find if they differ or the same. > test1<-c(20) > test2<-c(25) > test3<-c(15) >

Hello all, Let me first say that this isn't a question about outliers. I am using the outlier function from the outliers package but I am using it only because it is a convenient wrapper to determine values that have the largest difference between itself and the sample mean. Where I am running into problems is that I am several groups where I want to calculate the "outlier" within

Hi all, I have a dataframe (df1) that I am trying to select values from to a second dataframe that at the current time is only for the selected items from df1 (df2). The values that I am trying to save from df1 are factors with alphanumeric names df1 looks like this: 'data.frame': 3014 obs. of 13 variables: $ Num : int 1 1 1 2 2 2 3 3 3 4 ... $ Tag_Num : int 1195

Hi All, I have a factor variable with 52 levels -with long, annoying names. I want to keep only rows with some variables. I can do this using this code: test1 <- subset(nih2009,ic_name %in% c('NATIONAL EYE INSTITUTE','Veterans Affairs')) dim(test1) [1] 2396 38 But this doesn't work: t1 <- subset(nih2009, ic_name %in% c(27,51)) dim(t1) [1] 0 38 I know

Hello, there are problems with quota dict when multiple dovecot deliver processes are launched in parallel. It can be reproduced by sending a mail with multiple different recipients - the mail is delivered OK to all recipients, but the quota are not updated correctly in sql. I looked at the code and it seems that the problem is somewhere in dict cache. If I configure in Postfix max number of

The attached code produces corrupted pdfs (test2.pdf, test4.pdf and test5.pdf). The resulting pdf depends on how many cores are available on the machine. I don't see why there should be any difference between the pdfs (exept for the timestamp). Doing many operations involving mclapply can increase the size of the resulting pdf by ten times! Thank you for checking this. require(multicore)

Dear R´ers.. In this mock dataset how can I generate a logical variable based on whether just tes or tes3 are NA in each row?? test<-sample(c("A",NA,"B"),100,replace=T) test2<-sample(c("A",NA,"B"),100,replace=T) test3<-sample(c("A",NA,"B"),100,replace=T) tes<-cbind(test,test2,test3)

Oops, I think both of us forget to cite the r-devel channel. Best, Jiefei On Tue, Mar 10, 2020 at 5:13 AM Wang Jiefei <szwjf08 at gmail.com> wrote: > Thanks for your quick response, Tomas. > > Yes, this is a path issue, I think the problem is related to R, not the > Rtools make. I built an example package for reproducing the problem: > https://github.com/Jiefei-Wang/example

Hi, I am using merge to add some variables to an existing dataframe. I use the option "all.x=F" so that my final dataframe will only have as many rows as the first file I name in the call to merge. With a large dataframe using a lot of "by" variables, the number of rows of the merged dataframe increases from 177325 to 179690: >dim(test) [1] 177325 9 >

Dear all; I'm wondering if there is any 'efficient' approach for selecting a sample of 'every nth rows' from a dataframe. For example, let's use the dataframe GAGurine in MASS library: > length(GAGurine[,1]) [1] 314 # select an 75% of the dataset, i.e. = 236 rows, every 2 rows starting from row 1 > test<-GAGurine[seq(1,314,2),] > length(test[,1]) [1] 157 #

Hi there, I?ve been trying to get my head around a problem I have with Samba. I?ve set up Samba 3.6.13 on a Raspberry Pi with Arch Linux ARM on it and let it serve a couple of folders from an attached external ext4 drive mounted to /srv/cifs (of course with the "acl" option enabled). I?ve been trying to create a share that is read-writable for all members of a particular UNIX user

This is some kind of follow-up to my previous posts. I have further improved the speed of my program 6 times by eliminating all the apply(). It turns out that apply is slow, is slower than direct loop, it is an order slower than a matrix operation alternative. Here is one example. The first apply version runs 19 seconds, the second loop version runs 13 seconds, the third matrix version runs 1

Hi, I'm using metafor to perform a mixed-effects meta-analysis. I'd like to test whether the effect is different for animals and plants/whether "group" (animal/plant) influences the effect size, but am having trouble interpreting the results I get. I've read previous posts about QM in metafor, but I'm still a bit confused. I've dummy-coded the factors: