r - Correct number of decimal places reading in a .csv -

i have .csv 1 of columns contains numbers have 7 decimal places, e.g.: -117.2403266.

when i'm reading .csv r ever shows 4 decimal places column, e.g.: -117.2403. or maybe there when print shows 4 decimal places?

i thought might solved within arguments of read.csv() function, doesn't decimal places.

read.csv not truncating or rounding, print.data.frame function displaying values precision specified in options(). try:

 print(dfrm, digits=10)  > dfrm<- data.frame(test=-117.2403266) > print(dfrm)        test 1 -117.2403 > print(dfrm, digits=10)           test 1 -117.2403266 

using format suggested show precision has not been lost, return character vector, might not suitable assignment when numeric value expected.

edit of 2 yr-old post: topic might bring question regarding how integers can imported when larger .machine$integer.max #[1] 2147483647, since such can internally stored 'numeric'-abscissa values, maximum 2^52 (or 2^53-1, forget is). when these read in scan-based function (as 0f read.*-family), need declare 'numeric' rather 'integer':

> str( scan(text="21474836470", what=integer())) error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings,  :    scan() expected 'an integer', got '21474836470' > str( scan(text="21474836470", what=numeric())) read 1 item  num 2.15e+10 > str( read.table(text="21474836470", colclasses="integer")) error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings,  :    scan() expected 'an integer', got '21474836470' > str( read.table(text="21474836470", colclasses="numeric")) 'data.frame':   1 obs. of  1 variable:  $ v1: num 2.15e+10 

if don't specify type or mode "what", scan assume numeric() , succeed.