I\'m trying to get the min/max for each column in a large data frame, as part of getting to know my data. My first try was:
I managed to write a for loop to compare letters in the following vector: bases <- c(\"G\",\"C\",\"A\",\"T\")
In the documentation of sapply and replicate there is a warning regarding using ... Now, I can accept it as such, but would like to understand what is behind it. So I\'ve created this little contrive
I am using R and have searched around for an answer but while I have seen similar questions, it has not worked for my specific problem.
I have a data frame with columns that, when concatenated (row-wise) as a string, would allow me to partition the data frame into a desired form.
I\'m struggling with a bit of code.I can get it to work very inefficiently, but thought that there must be a better way to fix it.I am trying to compile a variable from several different variables.In
I have a data.frame named \"d\" of ~1,300,000 lines and 4 columns and another data.frame named \"gc\" of ~12,000 lines and 2 columns (but see the smaller example below).
Suppose I have a n by 2 matrix and a function that takes a 2-vector as one of its arguments. I would like to apply the function to each row of the matrix and get a n-vector. How to do this in R?
When I use FuzzyFinder plugin to open a new file in MacVim, it opens the new file at the same tab in a new buffer.
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