On Oct 6, 2012, at 1:11 AM, fxen3k wrote: > Hi, > > the first command was bringing the numbers into R directly: > *> testdata <- c(0.2006160108532920, 0.1321167173880490, 0.0563941428921262, > 0.0264198664609803, 0.0200581303857603, -0.2971754213679500, > -0.2353086361784190, 0.0667195538296534, 0.1755852636926560) >> mean(testdata) > [1] 0.0161584* > > Here I tried to calculate the mean with the same numbers as given above, but > taken from my dataset. > * >> str(dataSet2$ac_bhar_60d_4d_after_ann[1:9]) > num [1:9] 0.2 0.13 0.06 0.03 0.02 -0.3 -0.24 0.07 0.18 >> mean(dataSet2$ac_bhar_60d_4d_after_ann[1:9]) > [1] 0.01666667 > *
This is something that has happened in data processing: > dat <- read.csv2(text="0,2006160108532920 + 0,1321167173880490 + 0,0563941428921262 + 0,0264198664609803 + 0,0200581303857603 + -0,2971754213679500 + -0,2353086361784190 + 0,0667195538296534 + 0,1755852636926560 + ", header=FALSE) > mean(dat[[1]]) [1] 0.0161584 > > It seems that in the second case he calculates the mean with rounded numbers > (0.2 and not 0.20061601085...) > Could it be that R imports only the rounded numbers? > How can I build a CSV-file with numbers showing all decimal places? Because > I think my current CSV-file only has numbers with 2 decimal places. > That is more likely the fault of Excel than it is something R is responsible for. -- David Winsemius, MD Alameda, CA, USA ______________________________________________ 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.
