[R] NA command in a 'for' loop

[Helen Sawaya]

Thank you for your reply.

I tried d[] <- lapply(d, function(x) {is.na(x) <- x == 0; x})
​but I am still getting zeros instead of NAs in my output..

I wonder if the problem is that some of my data files don't have any zeros (participants made no errors)..
________________________________
From: Rui Barradas <ruipbarradas using sapo.pt>
Sent: Monday, April 20, 2020 9:05 AM
To: Helen Sawaya <helensawaya using hotmail.com>; r-help using R-project.org <r-help using R-project.org>
Subject: Re: [R] NA command in a 'for' loop

Hello,

Instead of

d[d == 0] <- NA

try

d[] <- lapply(d, function(x) {is.na(x) <- x == 0; x})


Also, in the first for loop

paste(i, sep = "")

does nothing, it's the same as i.
And the same for

(d2$V4 == 1) == TRUE

Since (d2$V4 == 1)  already is FALSE/TRUE there is no need for

(.) == TRUE


Hope this helps,

Rui Barradas



Às 20:52 de 19/04/20, Helen Sawaya escreveu:
> Dear R experts,
>
> I am using a 'for' loop to apply commands to multiple datasets (each file is one participant). The only one not working is the command that identifies zeros in my datasets and changes them to NAs. But when I look at the output, zeros ("0") are still present. Surprisingly, the functions work fine when I apply them to a single dataset (outside the loop). I've tried:
>
> all.files <- list.files(".")
> txt.files <- grep("threat.txt",all.files,value=T)
>
> for(i in txt.files){
>    d <- read.table(paste(i,sep=""),header=F)
>    d[d==0] <- NA #replace zeros with NA
>    write.table(d, paste0(i,".tlbs.txt"), quote=FALSE, row.names=TRUE)}
>    d<-d[ ,-c(10,11)]
>    d2<-d[complete.cases(d), ]
>    d2$V4<-as.numeric(d2$V4)
>    congruent <- (d2$V4 == 1) == TRUE
>    x <- get_tlbs(d2$V14, congruent, prior_weights = NULL, method = "weighted", fill_gaps = FALSE)
>    write.table(x, paste0(i,".tlbs.txt"), quote=FALSE, row.names=TRUE)}
>
> I've also tried:
>
> for(i in txt.files){
>    d <- read.table(paste(i,sep=""),header=F)
>    if (0 %in% d)
>    {replace_with_na(d,replace = list(x = 0))} # replace zeros with NA
>    d<-d[ ,-c(10,11)]
>    d2<-d[complete.cases(d), ]
>    d2$V4<-as.numeric(d2$V4)
>    congruent <- (d2$V4 == 1) == TRUE
>    x <- get_tlbs(d2$V14, congruent, prior_weights = NULL, method = "weighted", fill_gaps = FALSE)
>    write.table(x, paste0(i,".summaryoutput.txt"), quote=FALSE, row.names=TRUE)}
>
> Thank you for your help.
> Sincerely
> Helen
>
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>
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