As an aside, the sep = "," can be omitted, as that's the default anyway.
In his response to Sarah, the OP gave us only "the line was found to be
errored," which of course is useless. Perhaps if he provided explicit
information on what the call and the error was...
-- Bert
On Wed, Aug 29, 2018 at 3:34 PM Sarah Goslee <sarah.gos...@gmail.com> wrote:
> Hi,
>
> If you had an actual gene analysis question I'd suggest the
> BioConductor email list, but you have a plain old ordinary typo:
>
> the_data <-read.csv(file="LGG_clinical_drug.csv",header=T,sep",")
>
> You're missing the = after the argument sep
>
> the_data <- read.csv(file = "LGG_clinical_drug.csv", header = TRUE, sep =
> ",")
>
> Using more spaces in your code would make that typo easier to spot.
>
> Sarah
> On Wed, Aug 29, 2018 at 6:06 PM Spencer Brackett
> <spbracket...@saintjosephhs.com> wrote:
> >
> > Good evening R users,
> >
> > I am attempting to carry out DNA methylation analysis on two separate
> CSV
> > files (LGG and GBM), which I have downloaded onto my R console. To set
> the
> > path<-"." to be indicative of one or both of the csv files, I utilized
> the
> > following functions and received the errors shown. How do I set the "."
> so
> > that I can begin analysis on my files?
> >
> > > the_data <-read.csv(file="LGG_clinical_drug.csv",header=T,sep",")
> > Error: unexpected string constant in "the_data
> > <-read.csv(file="LGG_clinical_drug.csv",header=T,sep",""
> > > the_data<-read.csv(file="GBM_clinical_drug.csv",header=T,sep",")
> > Error: unexpected string constant in
> > "the_data<-read.csv(file="GBM_clinical_drug.csv",header=T,sep",""
> >
> > This is the preliminary portion of the analysis I am trying to run,
> which I
> > am referring to:
> >
> > 1 library(TCGAbiolinks)
> > 2
> > 3 # Download the DNA methylation data: HumanMethylation450 LGG and GBM.
> > 4 path <– "."
> > 5
> > 6 query.met <– TCGAquery(tumor = c("LGG","GBM"),"HumanMethylation450",
> > level = 3)
> > 7 TCGAdownload(query.met, path = path )
> > 8 met <– TCGAprepare(query = query.met,dir = path,
> > 9 add.subtype = TRUE, add.clinical = TRUE,
> > 10 summarizedExperiment = TRUE,
> > 11 save = TRUE, filename = "lgg_gbm_met.rda")
> > 12
> > 13 # Download the expression data: IlluminaHiSeq_RNASeqV2 LGG and GBM.
> > 14 query.exp <– TCGAquery(tumor = c("lgg","gbm"), platform =
> "IlluminaHiSeq_
> > RNASeqV2",level = 3)
> > 15
> > 16 TCGAdownload(query.exp,path = path, type = "rsem.genes.normalized_
> > results")
> > 17
> > 18 exp <– TCGAprepare(query = query.exp, dir = path,
> > 19 summarizedExperiment = TRUE,
> > 20 add.subtype = TRUE, add.clinical = TRUE,
> > 21 type = "rsem.genes.normalized_results",
> > 22 save = T,filename = "lgg_gbm_exp.rda")
> >
> > Many thanks,
> >
> > Spencer Brackett
> >
> --
> Sarah Goslee
> http://www.functionaldiversity.org
>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.
>
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