similar to: how to handle no lines in input with pipe()

In the following data.frame there are 6 columns, but 7 are written to the CSV file. install.packages("pmlr") library(pmlr) data(enzymes) write.table(enzymes, sep=",", eol="\n",file="albert.csv")

Dear R help, I have a doubt regarding the write.csv function.? When I save a file (write.csv(res1,"res1.csv")), it is saving with the read-only permission.? I tried to change the permission as a root user with chmod u+x.? Though, it says that "-rwxr--r--? 1 root root???? 164 2012-05-27 10:18 res1.csv", when I open the file it is still read-only.? Is there any way to save the

Hello, I work with time series data. From time to time I run programs to produce results that are in time series form (e.g., quarterly or monthly data). After a few days I might need to access part of the results and to run another program. Is there any function or package (like dataframe or zoo?) that might help so that I don't need to copy the results manually to a csv or xls file?

Hi all, New user here - I include the following command in the prompt read.csv("document.csv", header = TRUE ) and the output shows up. But when I include the following command summary(data) I get the following message "Error in object[[i]] : object of type 'closure' is not subsettable" Can someone please advise why R is not reading my data? Thanks

GuRus How do I use the write function (or write.table or write.csv) to achieve the following please? age=c(32,37,39) names=c("john","peter","jake") I would like create in a directory 3 files each named as john.csv,peter.csv and jake.csv and each file have data from the age vector. That is jon.csv will contain 32, peter.csv will contain 37 and jake.csv will contain

Hi, I have two matrix from two different .csv files. #load .csv files a <- as.matrix(read.table("Whirr_127.csv", header=T, sep=",", row.names=1)) b <- as.matrix(read.table("Files_Whirr_127.csv", header=T, sep=",", row.names=1)) a b I managed to do transpose to 'b' without any error. transpose_task <- t(b) transpose_task But, when I tried

Hello, I am trying to read in an Excel file that I saved as a .csv so I can analyze my assignment data! I am getting really frustrated because this is what I keep getting: Warning message: In read.table("CityData.CSV", sep = "/", header = T) : incomplete final line found by readTableHeader on 'CityData.CSV' I have open the file and make sure click return after

Hello. trying to do one of the simplest actions -read in data into R. I don't know why the FBfollowers column is being read as a factor and also if I use as.numeric on it, it looks really strange and actually complety alters the data. I am attaching the data set here called ddd.csv I used data=read.csv("ddd.csv",header=TRUE) fb=data$FBfollowers fb fb=as.numeric(fb) fb Thnxs in

Dear R users, I have an elementary query. I have a dataset which is taken from text file with the help of read.csv command but when I generate the data in R file it converts the Dates into factor.So for the above problem, I use as.Date to convert the Dates from factor form to date format using the following: z has Date as a column. *z<- read.csv("data", header = TRUE, sep =

This might be obvious but I was wondering if anyone knows quick and easy way of writing out a CSV file with varying row lengths, ideally an initial data read from a CSV file which has the same format. See example below. I found it quite strange that R cannot write it in one go, so one must append blocks or post-process the file, is this true? (even Ruby can do it!!) Otherwise it puts

This might be obvious but I was wondering if anyone knows quick and easy way of writing out a CSV file with varying row lengths, ideally an initial data read from a CSV file which has the same format. See example below. I found it quite strange that R cannot write it in one go, so one must append blocks or post-process the file, is this true? (even Ruby can do it!!) Otherwise it puts

I am the proud owner of a new laptop since my old one died the other day. Currently I have a dual-boot Windows 7 Home and Ubuntu 12.04 . I'll leave the Windows problems for another post. I know practically nothing about Linux so I am probably doing something stupid but ... at the moment I cannot seem read or write files in Ubuntu. I am not having any problem saving other documents to the

Dear R helpers, I am using Beta distribution to generate the random no.s (recovery rates in my example). However, each time I need to save these random no.s in a csv format. To distinguish different csv files, one way I thought was use of Sys.time in the file name. My code is as follows - # My code rr = rbeta(25, 6.14, 8.12) lgd = 1 - mean(rr) write.csv(data.frame(recovery_rates = rr), file =

Hi, The data for my new project are in a bunch of .sql files, instead of the clasic csv files that I'm used to work with. Could someone explain to me how to read these files into R? Thanks, -Ignacio [[alternative HTML version deleted]]

Hi, I am new to R and this is probably a very basic question but I can?t seem to figure out a solution. I am creating a stacked ggplot with the following data and code: PercentageData.csv looks like this: decision treatment percentage labtreatment defect 0 53.49 COMMON defect 1 78.00 ASYMMETRIC defect 2 96.67 PRIVATE coop 0 46.51 COMMON coop 1 22.00 ASYMMETRIC coop 2 3.33 PRIVATE %Load data:

I'm reading in ~3 years worth of data that includes hourly timestamps. Presumably to avoid DST confusion, all the data is in PST time zone -- no discontinuities in the spring or fall. The data comes in a csv file, which I'm reading with myvariable <- read.csv("my_data_file.csv",header=FALSE,

I have been working on the following code but keep getting an err message. My current thinking is that the problem is on the indexing but do not know how to fix it. Any help please? ungulate <- read.csv("Ungulate.csv",row.names=1) ungulate <- as.matrix(ungulate);colnames(ungulate)<-NULL;rownames(ungulate)<-NULL habitat <- read.csv("Ungulate_vegetation.csv")

I'm running R 2.15.2 on Max OS X 10.6.8 If I write a simple file Data1<-1 DF<-data.frame(Data1) colnames(DF)<-"Col1" and write to a csv file write.table(DF,file="Data.csv",sep=",",row.names=FALSE,col.names=TRUE) I can then append to it no problem Data2<-2 Data3<-4 DF2<-data.frame(Data2) DF3<-data.frame(Data3)

Dear R help; I'm currently trying to combine a large number (about 30 x 30) of large .csvs together (each at least 10000 records). They are organized by plots, hence 30 X 30, with each group of csvs in a folder which corresponds to the plot. The unmerged csvs all have the same number of columns (5). The fifth column has a different name for each csv. The number of rows is different. The

I am a raw novice to R, playing around with a mini .csv dataset created in Excel. I can read it in and the data looks OK in Excel and upon initial inspection in R: hikes <- read.csv("/Users/eproper/Desktop/hikes.csv", header=TRUE) print(hikes) does exactly what it is supposed to do. Two of the variables are genuine strings, but the others ought to be numeric, and R will calculate