Try adding fileEncoding="UTF-16" to your read.csv() call. Many Windows programs write UTF-16 files by default.
Bill Dunlap TIBCO Software wdunlap tibco.com On Thu, Aug 30, 2018 at 6:05 PM, Spencer Brackett < spbracket...@saintjosephhs.com> wrote: > My apologies... the following is what I received from the correction > > the_data<-read.csv(file="GBM_clinical_drug.csv",header=TRUE,sep=",") > Warning messages: > 1: In read.table(file = file, header = header, sep = sep, quote = quote, : > line 3 appears to contain embedded nulls > 2: In read.table(file = file, header = header, sep = sep, quote = quote, : > line 4 appears to contain embedded nulls > 3: In read.table(file = file, header = header, sep = sep, quote = quote, : > line 5 appears to contain embedded nulls > 4: In scan(file = file, what = what, sep = sep, quote = quote, dec = dec, > : > embedded nul(s) found in input > > > > > On Thu, Aug 30, 2018 at 8:57 PM Patrick Barry <pdba...@alaska.edu> wrote: > > > You still haven't fixed the first thing both Sarah and I pointed out. You > > are lacking an = between sep and "," > > > > the_data<-read.csv(file="GBM_clinical_drug.csv",header=TRUE,sep",") > > > > should be > > > > the_data <- read.csv(file = "GBM_clinical_drug.csv", header = TRUE, *sep > > = ","*) > > > > as Sarah pointed out, you should use spaces to help make these errors > more > > obvious. > > > > On Thu, Aug 30, 2018 at 4:53 PM, Spencer Brackett < > > spbracket...@saintjosephhs.com> wrote: > > > >> Hello again, > >> > >> My apologies for the delayed response... computer troubles. In reference > >> to > >> Ms. Goslee's and Mr. Barry's query, the following is the error code > >> received after I inputted my R command > >> > >> the_data<-read.csv(file="GBM_clinical_drug.csv",header=TRUE,sep",") > >> Error: unexpected string constant in > >> "the_data<-read.csv(file="GBM_clinical_drug.csv",header=TRUE,sep","" > >> > >> Given this, should I proceed with implementing the path<getwd() ,since I > >> am, as he suggested trying to set the variable *path* to my working > >> directory with path<-"." > >> > >> Mr. Mittal also recommended importing with r studio, which I shall try > in > >> the meantime. > >> > >> Many thanks, > >> > >> Spencer Brackett > >> > >> > >> On Wed, Aug 29, 2018 at 10:14 PM Amit Mittal < > prof.amit.mit...@gmail.com> > >> wrote: > >> > >> > Use r studio and import from the menu. Read_csv has changed > >> > > >> > Also you can see any format problems > >> > > >> > On Thu, 30 Aug 2018 3:36 am 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 > >> >> > >> >> [[alternative HTML version deleted]] > >> >> > >> >> ______________________________________________ > >> >> R-help@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@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@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@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.