search for: tqvm

...2 process2 A 3 process3 A 4 process4 B 1 process1 B 4 process4 C 1 process1 C 3 process3 D 4 process4 I want to compare A$V2 with B$V2, if it is the same, then append B$V1 to A. Any tips are highly appreciated. TQVM! -- Suhaila Zainudin PhD Candidate Universiti Teknologi Malaysia [[alternative HTML version deleted]]

...uch as follows.. > write.csv(mydata.imputed, file = "sample_imputed.csv") Error in data.frame(data = c(-0.07, -1.22, -0.09, -0.6, 0.65, -0.36, 0.25, : arguments imply differing number of rows: 18, 1, 0 I need help understanding the error message and overcoming the write.csvproblem. TQVM! [[alternative HTML version deleted]]

Hi, I would like to customise my date series on the plot. I tried this: dt_ts <- ts(dt) autoplot(dt_ts[,2]) + ylab("Charge counts") + xlab("Daily") but the label is not the date series. Tqvm for any help given. > dput(dt) structure(list(time = c("1/1/2014", "2/1/2014", "3/1/2014", "4/1/2014", "5/1/2014", "6/1/2014", "7/1/2014", "8/1/2014", "9/1/2014", "10/1/2014", "11/1/2014&qu...

Greetings R-users, I have been using the fpc package in R to cluster my data. Speficically I am using kmeansruns clustering. I would like to know how I use R to partition data into clusters. What I am doing is as follows. # Use csv file as input ##################### wholeset = read.csv("Spellman800genesImputed.csv") # exclude first col (gene names) ##########################

...3, roslinazairimah zakaria escreveu: > Hi, > > I would like to customise my date series on the plot. I tried this: > > dt_ts <- ts(dt) > autoplot(dt_ts[,2]) + ylab("Charge counts") + xlab("Daily") > > but the label is not the date series. > > Tqvm for any help given. > > >> dput(dt) > structure(list(time = c("1/1/2014", "2/1/2014", "3/1/2014", "4/1/2014", > "5/1/2014", "6/1/2014", "7/1/2014", "8/1/2014", "9/1/2014", "10/1/2014&q...