Read a csv file that has numeric columns
Read a csv file via data.table::fread()
using a
particular set of options, including the ability to transpose the
result. This version assumes that the contents other than the first
column and the header row are strictly numeric.
read_csv_numer( filename, sep = ",", na.strings = c("NA", "-"), comment.char = "#", transpose = FALSE, rownames_included = TRUE )
filename |
Name of input file |
sep |
Field separator |
na.strings |
Missing value codes |
comment.char |
Comment character; rest of line after this character is ignored |
transpose |
If TRUE, transpose the result |
rownames_included |
If TRUE, the first column is taken to be row names. |
Initial two lines can contain comments with number of rows and columns. Number of columns includes an ID column; number of rows does not include the header row.
The first column is taken to be a set of row names
Data frame
## Not run: mydata <- read_csv_numer("myfile.csv", transpose=TRUE)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.