First without the details I have data.frames like that one: val1 val2 val3 val4 val5 11.121.12.14.2 25.755.64.99.9
Not so much \'How do you...?\' but more \'How do YOU...?\' If you have a file someone gives you with 200 columns, and you want to reduce it to the few ones you need for analysis, how do you go about
I have a dataframe like x where the column genes is a factor. I want to remove all the rows where column genes has nothing. So in table X I want to remove row 4. Is there a way to do this for a large
This question already has answers here: 开发者_运维百科Split data frame string column into multiple columns
I am having a list of identically sorted dataframes. More specific these are the imputed dataframes which I get after doing Multiple imputations with the AmeliaII package. Now I want to create a new d
I have a tab-delimited file that looks like this: AG-AGAG-CAAT-AAAT-ACAT-AG... 0.0142180094786 0.0094786729857810.0142180094786 0.4218009478672 ...
I am using %in% for subsetting and I came across a strange result. > my.data[my.data$V3 %in% seq(200,210,.01),]
I have a data frame in R which looks like: RIC| Dat开发者_运维知识库e| Open| |--------|---------------------|--------|
I have several txt files with 3 columns in each files like this: file 1: ProbeID X_Signal_intensity X_P-Value
For example, I have a data frame with data across categories and subcategories and I want to be able to get row with maximum value in a particular column etc.
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