Thanks for all your help. I will try to fix this.
Very helpful.
Best,
Daofeng
On Fri, Jun 7, 2013 at 11:25 AM, Sarah Goslee <sarah.gos...@gmail.com>wrote:
> As Marc already pointed out, take a close look at this part of your loop:
>
> R> i <- 6
> R>
> R> y <- as.numeric(data[i,-1])
> R> y
> [1] 3 3 3 3 4 4 4 4
> R> group
> [1] 1 1 1 1 0 0 0 0
> R> fit <- glm.nb(y~group)
> Error in while ((it <- it + 1) < limit && abs(del) > eps) { :
> missing value where TRUE/FALSE needed
>
> What do you expect to happen there?
>
> In general, it's a better practice to pre-specify the size of result
> (eg matrix(NA, nrow=n, ncol=4) ) and fill it as you go, rather than
> using rbind() within a loop. Much more memory-efficient.
>
> Sarah
>
> On Fri, Jun 7, 2013 at 11:58 AM, Daofeng Li <lid...@gmail.com> wrote:
> > Sorry Sarah.
> >
> >> dput(dat)
> > structure(list(gene = structure(c(1L, 3L, 4L, 5L, 6L, 7L, 8L,
> > 9L, 10L, 2L), .Label = c("gene1", "gene10", "gene2", "gene3",
> > "gene4", "gene5", "gene6", "gene7", "gene8", "gene9"), class = "factor"),
> > b1 = c(18L, 15L, 10L, 4L, 0L, 3L, 0L, 4L, 11L, 6L), b2 = c(15L,
> > 8L, 9L, 0L, 1L, 3L, 4L, 4L, 6L, 3L), b3 = c(13L, 8L, 8L,
> > 4L, 0L, 3L, 0L, 7L, 13L, 6L), b4 = c(13L, 7L, 12L, 3L, 0L,
> > 3L, 2L, 3L, 10L, 3L), c1 = c(16L, 0L, 9L, 0L, 1L, 4L, 2L,
> > 0L, 13L, 4L), c2 = c(9L, 12L, 11L, 5L, 5L, 4L, 2L, 6L, 7L,
> > 7L), c3 = c(20L, 18L, 12L, 0L, 1L, 4L, 0L, 6L, 12L, 6L),
> > c4 = c(24L, 4L, 12L, 0L, 0L, 4L, 0L, 12L, 9L, 3L)), .Names =
> c("gene",
> > "b1", "b2", "b3", "b4", "c1", "c2", "c3", "c4"), class = "data.frame",
> > row.names = c(NA,
> > -10L))
> >
> > above was the dput(dat). Thanks.
> >
> > Daofeng
> >
> >
> > On Fri, Jun 7, 2013 at 10:47 AM, Sarah Goslee <sarah.gos...@gmail.com>
> > wrote:
> >>
> >> Hi,
> >>
> >> On Fri, Jun 7, 2013 at 11:36 AM, Daofeng Li <lid...@gmail.com> wrote:
> >> > Thank you Sarah and Marc for your fast and nice response.
> >> > Apology for didn't include all information.
> >> >
> >> > I have a input file like following:
> >> >
> >> > gene1 18 15 13 13 16 9 20 24
> >> > gene2 15 8 8 7 0 12 18 4
> >> > gene3 10 9 8 12 9 11 12 12
> >> > gene4 4 0 4 3 0 5 0 0
> >> > gene5 0 1 0 0 1 5 1 0
> >> > gene6 3 3 3 3 4 4 4 4
> >> > gene7 0 4 0 2 2 2 0 0
> >> > gene8 4 4 7 3 0 6 6 12
> >> > gene9 11 6 13 10 13 7 12 9
> >> > gene10 6 3 6 3 4 7 6 3
> >>
> >> > dat =
> >> >
> >> >
> read.table("test",col.names=c("gene","b1","b2","b3","b4","c1","c2","c3","c4"))
> >>
> >> Is this what's in the "test" file that your code reads in? We don't
> >> have that file, so can't run your code.
> >>
> >> If it is, then the output of
> >>
> >> dput(dat)
> >>
> >> would be enormously more useful than copy and pasting your data file
> >> into your email.
> >>
> >> And yes, the full code is very little like the pair of lines you
> >> originally pasted in.
> >>
> >> Sarah
> >>
> >> > I am using following R code to compare the difference between the 1st
> 4
> >> > numbers against 2nd 4 numbers:
> >> >
> >> > library(MASS)
> >> > library(coin)
> >> > suppressPackageStartupMessages(suppressWarnings(library(tcltk)))
> >> > library(qvalue)
> >> > library(plyr)
> >> > dat =
> >> >
> >> >
> read.table("test",col.names=c("gene","b1","b2","b3","b4","c1","c2","c3","c4"))
> >> > index=(apply(dat[,-1],1,sum)>0)
> >> > data = dat[index,]
> >> > group=c(1,1,1,1,0,0,0,0)
> >> > n=nrow(data)
> >> > result=NULL
> >> > for (i in 1:n){
> >> > print(i)
> >> > y=as.numeric(data[i,-1])
> >> > if (all((y-mean(y))==0))
> >> > result=rbind(result,c(0,0,0,1))
> >> > else {
> >> > fit=glm.nb(y~group)
> >> > result=rbind(result,summary(fit)$coef[2,])
> >> > }
> >> > }
> >> > qval = qvalue(result[,4])
> >> > fdr=0.1
> >> > index=(qval$qvalues<fdr)
> >> > dat.result = data[index,]
> >> > write.table(dat.result,file="test_result",row.names=F,quote=F)
> >> >
> >> > If you use this input file and code, would reproduce the same error:
> >> >
> >> > Loading required package: methods
> >> > Loading required package: survival
> >> > Loading required package: splines
> >> > Loading required package: mvtnorm
> >> > Loading required package: modeltools
> >> > Loading required package: stats4
> >> >
> >> > Attaching package: plyr
> >> >
> >> > The following object is masked from package:modeltools:
> >> >
> >> > empty
> >> >
> >> > [1] 1
> >> > [1] 2
> >> > [1] 3
> >> > [1] 4
> >> > [1] 5
> >> > [1] 6
> >> > Error in while ((it <- it + 1) < limit && abs(del) > eps) { :
> >> > missing value where TRUE/FALSE needed
> >> > Calls: glm.nb -> as.vector -> theta.ml
> >> > In addition: Warning messages:
> >> > 1: In theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace =
> >> > control$trace > :
> >> > iteration limit reached
> >> > 2: In theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace =
> >> > control$trace > :
> >> > iteration limit reached
> >> > Execution halted
> >> >
> >> > So might be the error was in 6th line, not the line I pasted before
> (5th
> >> > line)? Sorry about that.
> >> >
> >> > Thanks.
> >> >
> >> > Daofeng
> >> >
> >> >
> >> > On Fri, Jun 7, 2013 at 10:15 AM, Marc Schwartz <marc_schwa...@me.com>
> >> > wrote:
> >> >>
> >> >>
> >> >> On Jun 7, 2013, at 9:44 AM, Daofeng Li <lid...@gmail.com> wrote:
> >> >>
> >> >> > Dear R Community,
> >> >> >
> >> >> > I have encountered a problem while using the R function glm.nb.
> >> >> > The code that produce the error was following two lines:
> >> >> >
> >> >> > group=c(1,1,1,1,0,0,0,0)
> >> >> > fit=glm.nb(y~group)
> >> >> >
> >> >> > While the y contains 8 sets of number like:
> >> >> > gene275 0 1 0 0 1 5 1
> >> >> > 0
> >> >> >
> >> >> > Error message:
> >> >> >
> >> >> > Error in while ((it <- it + 1) < limit && abs(del) > eps) { :
> >> >> > missing value where TRUE/FALSE needed
> >> >> > Calls: glm.nb -> as.vector -> theta.ml
> >> >> > In addition: There were 50 or more warnings (use warnings() to see
> >> >> > the
> >> >> > first 50)
> >> >> > Execution halted
> >> >> >
> >> >> >
> >> >> > Information of my system:
> >> >> >> sessionInfo()
> >> >> > R version 3.0.1 (2013-05-16)
> >> >> > Platform: x86_64-unknown-linux-gnu (64-bit)
> >> >> >
> >> >> > locale:
> >> >> > [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
> >> >> > [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
> >> >> > [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
> >> >> > [7] LC_PAPER=C LC_NAME=C
> >> >> > [9] LC_ADDRESS=C LC_TELEPHONE=C
> >> >> > [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
> >> >> >
> >> >> > attached base packages:
> >> >> > [1] stats graphics grDevices utils datasets methods
> base
> >> >> >
> >> >> > Does anyone happen to have some hit on how to solve this?
> >> >> > Appreciate for any response.
> >> >> >
> >> >> > Thanks in advance,
> >> >> >
> >> >> > Daofeng
> >> >>
> >> >>
> >> >> There is something wrong with your actual 'y' or 'group' that is not
> >> >> evident from the above info:
> >> >>
> >> >>
> >> >> group <- c(1, 1, 1, 1, 0, 0, 0, 0)
> >> >> y <- c(0, 1, 0, 0, 1, 5, 1, 0)
> >> >>
> >> >> > require(MASS)
> >> >> Loading required package: MASS
> >> >>
> >> >> > glm.nb(y ~ group)
> >> >>
> >> >> Call: glm.nb(formula = y ~ group, init.theta = 1.711564307, link =
> >> >> log)
> >> >>
> >> >> Coefficients:
> >> >> (Intercept) group
> >> >> 0.5596 -1.9459
> >> >>
> >> >> Degrees of Freedom: 7 Total (i.e. Null); 6 Residual
> >> >> Null Deviance: 10.23
> >> >> Residual Deviance: 6.848 AIC: 25.25
> >> >>
> >> >>
> >> >> Check str(y) and str(group)
> >> >>
> >> >> You should also be sure to note in your posts when you are using a
> >> >> function from a non-base package, in this case MASS, which is not
> >> >> indicated
> >> >> in your sessionInfo() above, so something is amiss there as well.
> >> >>
> >> >> Regards,
> >> >>
> >> >> Marc Schwartz
> >> >>
> >> >
> >>
> >>
> >>
>
> --
> Sarah Goslee
> http://www.functionaldiversity.org
>
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