Hello, I am using read.table to read files directly from a public ftp site. I have a general list of files that may or may not exist in the ftp directory, but my hope was that R would read the file if it existed and ignored it if it didn't exist and move on to the next one. However, when R arrives at a file that does not exist I get the error message "Error in file(file, "rt") : cannot open the connection" This makes sense, but I was wondering if there was any way I could circumvent this error message and have R instead give me a warning message without terminating my entire loop. Ideally, I would get a warning message saying the connection does not exist, and then have R skip to the next file. My code is copied below.
hourly.years <- c(2000:2008) hourly.species <- c('ch4','co2','co') station.names <- c('alt482n00','chm449n00','egb444n01','etl454n00','fsd449n00','llb454n01','wsa443n00','cdl453n00') for (kk in hourly.years) { for (i in hourly.species) { for (nn in station.names) { file1 <- paste('ftp://gaw.kishou.go.jp/pub/data/current/ ',i,'/hourly/y',kk,'/',nn,'.ec.as.cn.',i,'.nl.hr',kk,'.anc',sep='') #ancillary data file2 <- paste('ftp://gaw.kishou.go.jp/pub/data/current/ ',i,'/hourly/y',kk,'/',nn,'.ec.as.cn.',i,'.nl.hr',kk,'.dat',sep='') #concentration data dumm.anc <- read.table(file1,skip=32,header=F,as.is=T) colnames(dumm.anc) <- c('DATE','TIME','WD','WS','RH','AT') dumm.dat <- read.table(file2,skip=32,header=F,as.is=T) colnames(dumm.dat) <- c('DATE','TIME','DATE','TIME','CH4','ND','SD','F','CS','REM') r.obj.anc <- paste(substr(nn,1,3),i,kk,'anc.cont',sep='.') r.obj.dat <- paste(substr(nn,1,3),i,kk,'dat.cont',sep='.') assign(r.obj.anc,dumm.anc) assign(r.obj.dat,dumm.dat) status<-paste(i,nn,kk,'----EC HOURLY/CONTINUOUS DAT/ANC read complete',sep=' ') print(status,quote=F) } } } Thanks for any help! Regards, Archana [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list 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.