similar to: Cannot be coerced to logical?

Hi, I've got 4 variables that I want to effectively 'stack' so that I have a grand R variable and a grand L variable. This works to achieve that goal: Twin1cor<-with(twin.wide,cbind(ACDepthR.1,ACDepthL.1)) Twin2cor<-with(twin.wide,cbind(ACDepthR.2,ACDepthL.2)) Both<-rbind(Twin1cor,Twin2cor) > str(Both) num [1:1858, 1:2] 3.36 NA NA NA NA NA NA 3.92 3.5 NA ... - attr(*,

I have a very long list that I'd like to subset based on a logical value within each element. Example below. I'd like to get just those list elements for further study whose $sig.cor slot is TRUE. In this example, I'd only want element [[2]]. Should be simple, I know. How can I do this? Thanks, Mark > gene.pair.tf.lst [[1]] [[1]]$gene.pair [1] "Lgals1:Pxmp2"

Hello, I am trying to make a correlation matrix in R using cor() and also to get the p-value for each correlation using cor.test(). I can't get these commands to work. I'm getting errors like the following: cor(Pollution, Wet.days) Error in inherits(x, "data.frame") : Object "Wet.days" not found cor("Pollution", "Wet.days") Error in

Hello, I have a big dataframe with *NO* na's (9 columns, 293380 rows). # doing memory.limit(size = 1000000000) cor(x) #gives Error in cor(x) : missing observations in cov/cor In addition: Warning message: NAs introduced by coercion #I found the obvious workaround: COR <- matrix(rep(0, 81),9,9) for (i in 1:9) for (j in 1:9) {if (i>j) COR[i,j] <- cor (x[,i],x[,j])} #which works fine,

Hello. I'm afraid that I'm missing something very obvious this afternoon... When I add a column to a data.frame (by assigning to a "new" column name a logical vector), I thought that I had (at least) 3 options to do so: R> j <- data.frame (x=1:2) R> j$y <- c(TRUE,FALSE) #assignment 1 R> str(j) `data.frame': 2 obs. of 2 variables: $ x: int 1 2 $ y: logi

Hello I will appreciate your help with the following. Running a script in R 2.14.1 under windows vista I get the following error message: Error in ifelse(append, "a", "w") : (list) object cannot be coerced to type 'logical' However, the very same script runs perfectly well under Ubuntu. My understanding is that this type of error is associated to

Hello all, I have read as many merge issues as I possibly could tonight and although I presume this is a small error, I have not found the solution to my problem. I'm trying to merge two data sets: dat0 and TransTable. As you can see below, dat0 has 8000 rows, whereas TransTable has 47296 rows. I would expect when I merge the two data sets, with all.x=F, and all.y=F, that the

This is a bug both in R and S-plus (in R it's "worse"), I think. Look at this : ma <- cbind(1,1:8); logi <- rep(c(T,F),4) ma[logi,] ##> [,1] [,2] ##> [1,] 1 1 ##> [2,] 1 3 ##> [3,] 1 5 ##> [4,] 1 7 ##-- now the same with [ , drop = FALSE] ## R (-0.50-a3) : ma[logi, drop = F] ##>> Error: invalid subscript type ##

------------------------ Dovecot Version: ------------------------ 2.0.13 ------------------------ Output of "dovecot -n": ------------------------ # 2.0.13: /usr/local/etc/dovecot/dovecot.conf # OS: Linux 2.6.35-28-generic x86_64 Ubuntu 10.10 ext4 mail_location = maildir:/home/%u/Maildir passdb { args = %s driver = pam } protocols = imap pop3 ssl = no userdb { driver = passwd }

useRs, Here is some R-ready data for my question to follow. Of course this data is small snippet from a much larger dataset that is about a decade long. Q<-read.table(textConnection("2002 3 28 15 77.38815 2002 3 28 30 77.09505 2002 3 28 45 76.80196 2002 3 28 60 76.50887 2002 3 28 75 76.50887 2002 3 28 90 76.50887 2002 3 28 105

>>>>> Martin Maechler <maechler at stat.math.ethz.ch> >>>>> on Tue, 6 Jun 2017 09:45:44 +0200 writes: >>>>> Herv? Pag?s <hpages at fredhutch.org> >>>>> on Fri, 2 Jun 2017 04:05:15 -0700 writes: >> Hi, I have a long numeric vector 'xx' and I want to use >> sum() to count the number of

Hello, I am a biologist and I am dealing with files composed of columns with T or A or C or G (example below) Sometimes a column is composed of only "T" and in that case, the columns becomes a logical column TRUE (example below) I know that the argument "as.is" controls the turns off turning a column into a factor, instead becoming a character Is there something similar for

Suppose I have two sets of (x,y) points like this: x1<-runif(n=10) y1<-runif(n=10) A<-cbind(x1,y1) x2<-runif(n=10) y2<-runif(n=10) B<-cbind(x2,y2) I would like to measure how similar the two sets of points are. Something like a correlation coefficient, where 0 means the two patterns are unrelated, and 1 means they are identical. And in addition I'd like to be able to

I have a data set where I want the correlations between 2 variables conditional on a students grade level. This code works just fine. by(tmp[,c('mtsc07', 'DCBASmathscoreSPRING')], tmp$Grade, cor, use='complete', method='pearson') However, this generates an error by(tmp[,c('mtsc07', 'DCBASmathscoreSPRING')], tmp$Grade, cor, use='complete',

Hi your initial ds > str(ds) 'data.frame': 2 obs. of 3 variables: $ var1: num 1 1 $ var2: logi TRUE FALSE $ var3: logi NA NA first result > str(ds) 'data.frame': 2 obs. of 6 variables: $ var1 : num 1 1 $ var2 : logi TRUE FALSE $ var3 : logi NA NA $ value_and_logical: logi TRUE TRUE $ logical_and_na : logi TRUE NA

Can I suggest that in cov and cor the lines if (is.data.frame(x)) x <- as.matrix(x) if (is.data.frame(y)) y <- as.matrix(y) be replaced by if (is.data.frame(x)) x <- data.matrix(x) # coerce logical and factors if (is.data.frame(y)) y <- data.matrix(y) # likewise This would allow things like > data(iris) > cor(iris) which

Greetings, I have a seemingly simple task which I have not been able to solve today. I want to construct a symmetric matrix of arbtriray size w/o using loops. The following I thought would do it: p <- 6 Rmat <- diag(p) dat.cor <- rnorm(p*(p-1)/2) Rmat[outer(1:p, 1:p, "<")] <- Rmat[outer(1:p, 1:p, ">")] <- dat.cor However, the problem is that the matrix

Hello, Please keep this on the list, always cc r-help. One of the files in your attachment is empty: y <- read.csv(file.choose("GT.csv")) Error in read.table(file = file, header = header, sep = sep, quote = quote,? : ? no lines available in input Rui Barradas ? Citando Chaitanya Ganne <Chaitanya.Ganne at jefferson.edu>: > Thank you so much for your input. > > I am

Hi,, I want to use the existing cor function in R but with a different way to compute the correlation method.. basically zero mean correlation. The forumula I have is 'D' <- function(c1, c2) sum(c1*c2, na.rm=T)/(sqrt(sum(c1*c1, na.rm=T))*sqrt(sum(c2*c2, na.rm=T))) I am not sure how i can modify the method cor computes its square roots and covariance matrixes? I only need to add

Hola a todos, Tengo el siguiente problema: Tengo un archivo de excel que lo convertÍ a csv y tiene la siguiente estructura:La primera columna con el nombre de las empresas (48 empresas) y 17 columnas más (variables) con información sobre esas empresas. Cargo el archivo en r de la siguiente manera para poder trabajar con el: library(xtable)variables <-