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]]
> >>>
> >>> ______________________________________________
> >>> 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.
> >>>
> >>
> >> [[alternative HTML version deleted]]
> >>
> >> ______________________________________________
> >> 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.
> >>
> >>
> >
> > --
> > 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.
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]]
> >>>
> >>> ______________________________________________
> >>> 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.
> >>>
> >>
> >> [[alternative HTML version deleted]]
> >>
> >> ______________________________________________
> >> 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.
> >>
> >>
> >
> > --
> > 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.
[[alternative HTML version deleted]]
Hi Helen, I can follow you this far: # just read in the data from your example d<-read.csv(text="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", header=FALSE,stringsAsFactors=FALSE) # get rows of d you want d2<-d[d$V13==1,] d2 congruent<-(d2$V4 == 1) congruent and things are as I expect even though I have shortened the code somewhat. I'm not familiar with the "get_tlbs" function which I can find on GitHub but not on CRAN, so if this: x<-get_tlbs(d2$V14,congruent,prior_weights=NULL,method="weighted", fill_gaps = FALSE) gives you the "x" that you want, I think we're close. Jim On Tue, Apr 21, 2020 at 1:53 PM Helen Sawaya <helensawaya at hotmail.com> wrote:> 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]] > > >>> > > >>> ______________________________________________ > > >>> 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. > > >>> > > >> > > >> [[alternative HTML version deleted]] > > >> > > >> ______________________________________________ > > >> 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. > > >> > > >> > > > > > > -- > > > 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. >[[alternative HTML version deleted]]
Please follow Rui's advice and use dput to provide a small reproducible example. You ask folks here to to help but won't make the effort to enable them to do so, at least not without wasting a lot of time trying to guess what's going on. And post in plain text, not HTML. That is just common courtesy to follow the conventions of the list. Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, Apr 20, 2020 at 8:53 PM Helen Sawaya <helensawaya at hotmail.com> wrote:> > 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]] > > >>> > > >>> ______________________________________________ > > >>> 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. > > >>> > > >> > > >> [[alternative HTML version deleted]] > > >> > > >> ______________________________________________ > > >> 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. > > >> > > >> > > > > > > -- > > > 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. > > [[alternative HTML version deleted]] > > ______________________________________________ > 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.
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$V14, congruent, prior_weights = NULL, method = "weighted", fill_gaps = FALSE) >> >>>???? write.table(x, paste0(i,".summaryoutput.txt"), quote=FALSE, row.names=TRUE)} >> >>> >> >>> Thank you for your help. >> >>> Sincerely >> >>> Helen >> >>> >> >>>???????? [[alternative HTML version deleted]] >> >>> >> >>> ______________________________________________ >> >>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> >>> https://stat.ethz.ch/mailman/listinfo/r-help >> >>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> >>> and provide commented, minimal, self-contained, reproducible code. >> >>> >> >> >> >>??????? [[alternative HTML version deleted]] >> >> >> >> ______________________________________________ >> >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> >> https://stat.ethz.ch/mailman/listinfo/r-help >> >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> >> and provide commented, minimal, self-contained, reproducible code. >> >> >> >> >> > >> > -- >> > Michael >> > http://www.dewey.myzen.co.uk/home.html >> >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code.
You now say that you "want to get rid of" the rows where V13 is 0. d1 <- d[d$V13 != 0,] returns you a new data frame d1 containing all the rows of d where V13 is not 0. On Tue, 21 Apr 2020 at 15:53, Helen Sawaya <helensawaya at hotmail.com> wrote:> 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]] > > >>> > > >>> ______________________________________________ > > >>> 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. > > >>> > > >> > > >> [[alternative HTML version deleted]] > > >> > > >> ______________________________________________ > > >> 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. > > >> > > >> > > > > > > -- > > > 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. > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. >[[alternative HTML version deleted]]