Putting your two queries together [see revised Subject ... ]: [R] (no subject)^1:
Could you please help me? I am trying to load an csv-file in R, but it works wrong! My data is 0,0127 -0,0016 0,0113 0,0037 -0,0025 > > Ret X0 X0127 1 0 16 2 0 113 3 0 37 4 0 25 In this case, you need to use the "header=FALSE" option to read.csv(): Ret<-read.csv("Ret.csv", header=FALSE) since the default for read.csv() is "header=TRUE", so it assigns names to the variables (col1 and col2) according to what is in the first line. Since your first line had numeric data, it appends these to "X". Read what you get from ?read.csv [R] (no subject)^2 Hi Guys, It is very simple question, but I can't find the answer! Please help me. I use R and such simple function as length() doesn't work. The result is always 1 even if my data are more then 1 observations! Do I have to load any additional library? > length(Ret_1) [1] 1 > length function (x) .Primitive("length") Thank you!!! I surmise that "Ret_1" is the result of a command similar to your Ret<-read.csv("Ret.csv") Hence it is a dataframe. If I use your Ret<-read.csv("Ret.csv") command with your "Ret.csv" data, I get, as you did: Ret # X0 X0127 # 1 0 16 # 2 0 113 # 3 0 37 # 4 0 25 Here, Ret is a dataframe with two "columns". In fact, a dataframe is a special kind of list, one element for each column: str(Ret) # 'data.frame': 4 obs. of 2 variables: # $ X0 : int 0 0 0 0 # $ X0127: int 16 113 37 25 and each "$" is one element of the list: $X0 and $X0127. Each element is a vector of numbers in the case of your "Ret". You can see what they are separately by using the "$" operator to extract them: Ret$X0 # [1] 0 0 0 0 Ret$X0127 # [1] 16 113 37 25 So "Ret" is a list with 2 elements. Hence: length(Ret) # [1] 2 Therefore, in the case of your "Ret_1", I surmise that your "Ret_1" is a list with one element (as Sarah Goslee surmised also). In other words, if you constructed "Ret_1" by reading from a CSV file, as in Ret<-read.csv("Ret.csv") you will have a dataframe with 1 "column", namely a list with one element. Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <ted.hard...@manchester.ac.uk> Fax-to-email: +44 (0)870 094 0861 Date: 02-Jul-09 Time: 15:49:56 ------------------------------ XFMail ------------------------------ ______________________________________________ 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.