NA command in a 'for' loop
Hello, Thanks for the data. But since the replacements still do not work, please post the output of dput(head(d, 10)) in order for us to have an *exact* copy of the data structure. I had asked for 20 or 30 rows but given your post 10 are enough. With a way to exactly reproduce what you have, it will be much easier to try code and find a solution. I, and I believe most R users, will run str(d) as one of the first steps to know what is in that problem column. And go from there. Hope this helps, Rui Barradas ?s 04:52 de 21/04/20, Helen Sawaya escreveu:
Thank you all for your input.
This is an example of one data file (I have 74 data files):
2.90546E+11, threat, ? ?1, 2, 1, 2, 1, ? ? ? ?death, ? ? ? ?stove,
? ? NA, ? ? ? ? ? NA, ?205, ? ?0, ?394
2.90546E+11, threat, ? ?2, 2, 2, 1, 1, ? ?emaciated, ? ?shortened,
? ? NA, ? ? ? ? ? NA, ?205, ? ?0, ?502
2.90546E+11, threat, ? ?3, 1, 1, 1, 2, ? ? mutilate, ? ? consider,
? ? NA, ? ? ? ? ? NA, ?205, ? ?1, ?468
2.90546E+11, threat, ? ?6, 1, 2, 2, 1, ? ? ? ? weep, ? ? ? ? shop,
? ? NA, ? ? ? ? ? NA, ?203, ? ?1, ?345
2.90546E+11, threat, ? ?9, 2, 1, 2, 2, ? ?tormented, ? ?easygoing,
? ? NA, ? ? ? ? ? NA, ?205, ? ?1, ?373
2.90546E+11, threat, ? 10, 1, 2, 2, 2, ? ? ? ?snake, ? ? ? ?table,
? ? NA, ? ? ? ? ? NA, ?205, ? ?1, ?343
2.90546E+11, threat, ? 11, 2, 2, 1, 1, ? ? ? crisis, ? ? ? faucet,
? ? NA, ? ? ? ? ? NA, ?203, ? ?1, ?437
2.90546E+11, threat, ? 12, 1, 1, 1, 1, ? ? ? victim, ? ? ?utensil,
? ? NA, ? ? ? ? ? NA, ?203, ? ?1, ?343
2.90546E+11, threat, ? 14, 1, 2, 2, 1, ? ?depressed, ? ?repentant,
? ? NA, ? ? ? ? ? NA, ?203, ? ?1, ?441
2.90546E+11, threat, ? 15, 2, 2, 1, 2, ? ? ? ? scum, ? ? ? ? shoe,
? ? NA, ? ? ? ? ? NA, ?205, ? ?1, ?475
?Column 13 has values of 0s and 1s which my cognitive task outputted.
Column 14 is the reaction time (ms) data. I want to get rid of the rows
that contain zeros so I thought I'd first replace zeros with NAs then
use complete.cases function to get rid of the NAs. I also wanted to
apply other functions so I included them all in a loop. All work fine
except for the one where I try to turn the zeros to NAs.
Jim when I tried your mockdata example, it worked fine. But when I
translated it to my data, I still get zeros in the output. Can you
identify any mistranslations I'm doing?
txt.files<-list.files(".",pattern="dotprobe") #all my data files are
text files in one folder
for(tf in txt.files) {
? d<-read.table(tf)
? d[,13][d[,13]==0]<-NA #column 13 contains zeros
? d<-d[ ,-c(10,11)] #get rid of columns 10 and 11
? write.table(d,sub("[.]",".tlbs.",tf),quote=FALSE, row.names=FALSE)
}
That's an example of one of the output I get:
V1 V2 V3 V4 V5 V6 V7 V8 V9 V12 V13 V14
2.90546E+11, threat, 1, 2, 1, 2, 1, death, stove, 205, 0, 394
2.90546E+11, threat, 2, 2, 2, 1, 1, emaciated, shortened, 205, 0, 502
2.90546E+11, threat, 3, 1, 1, 1, 2, mutilate, consider, 205, 1, 468
2.90546E+11, threat, 6, 1, 2, 2, 1, weep, shop, 203, 1, 345
2.90546E+11, threat, 9, 2, 1, 2, 2, tormented, easygoing, 205, 1, 373
2.90546E+11, threat, 10, 1, 2, 2, 2, snake, table, 205, 1, 343
Columns 10 and 11 were deleted. But zeros were not replaced by NAs.
After all the data cleaning, the functions I'm interested in including
in the loop are: get_tlbs and summarize_bias (and these also work fine
in my loop).
Thanks again ?
Sincerely
Helen
------------------------------------------------------------------------
*From:* Jim Lemon <drjimlemon at gmail.com>
*Sent:* Tuesday, April 21, 2020 2:52 AM
*To:* Rui Barradas <ruipbarradas at sapo.pt>
*Cc:* Helen Sawaya <helensawaya at hotmail.com>; Michael Dewey
<lists at dewey.myzen.co.uk>; r-help at R-project.org <r-help at r-project.org>
*Subject:* Re: [R] NA command in a 'for' loop
Hi Helen,
Your problem may lie in using row.names=TRUE. I was puzzled when an
extra column kept popping up in the output files. For reading in and
replacing zeros with NAs, this seems to work:
for(mockdata in 1:3) {
?mdf<-data.frame(sample(2:20,10),sample(2:20,10),sample(0:1,10,TRUE))
?write.table(mdf,file=paste0("threat",mockdata,".txt"),quote=FALSE,
? row.names=FALSE,col.names=FALSE)
}
txt.files<-list.files(".",pattern="threat[1-3]")
for(tf in txt.files) {
?d<-read.table(tf)
?d[,3][d[,3]==0]<-NA
?write.table(d,sub("[.]",".tbls.",tf),quote=FALSE,row.names=FALSE)
}
Jim
On Tue, Apr 21, 2020 at 7:57 AM Rui Barradas <ruipbarradas at sapo.pt> wrote:
Hello, I believe the only way we have to see what is happening is for you to post the output of dput(head(d, 20))? # or 30 or, with d2 a subset of d that includes zeros, dput(head(d2, 20)) Hope this helps, Rui Barradas ?s 17:48 de 20/04/20, Helen Sawaya escreveu:
I have one column that represents correct response versus error (correct is coded as 1 and error is coded as 0). Nowhere else in the dataset are there values of 0. The vector is treated as an integer. ------------------------------------------------------------------------ *From:* Michael Dewey <lists at dewey.myzen.co.uk> *Sent:* Monday, April 20, 2020 7:35 PM *To:* Helen Sawaya <helensawaya at hotmail.com>; Rui Barradas <ruipbarradas at sapo.pt>; r-help at R-project.org <r-help at R-project.org> *Subject:* Re: [R] NA command in a 'for' loop Just a thought Helen but is x being treated as a real and what you think are zero and are printed as zero are in fact some very small number? If so you need to alter your test appropriately. Michael On 20/04/2020 17:25, Helen Sawaya wrote:
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 at sapo.pt>
Sent: Monday, April 20, 2020 9:05 AM
To: Helen Sawaya <helensawaya at hotmail.com>; r-help at R-project.org <r-help at 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
?s 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
???????? [[alternative HTML version deleted]]
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??????? [[alternative HTML version deleted]]
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-- Michael http://www.dewey.myzen.co.uk/home.html
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.