[R] Calculating the mean in one column with empty cells

[Sarah Goslee]

If the numbers were imported correctly you wouldn't need to do
as.numeric(as.character(yourdata)).

Please use dput() to provide your data, as in:
dput(dataSet2$ac_bhar_60d_4d_after_ann[2:10])

Otherwise it's impossible for us to diagnose your problem or reproduce
your error.

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


Sarah


On Fri, Oct 5, 2012 at 9:14 AM, fxen3k <f.sehardt at gmail.com> wrote:
> I'm sorry!
>
> Now I tried it again with just 10 numbers (just random numbers) and Excel
> gives a different output than R.
>
> Here are the numbers I used:
>
> 0,2006160108532920
> 0,1321167173880490
> 0,0563941428921262
> 0,0264198664609803
> 0,0200581303857603
> -0,2971754213679500
> -0,2353086361784190
> 0,0667195538296534
> 0,1755852636926560
>
> And this is the command in R:
>
>> nums <- as.numeric(as.character(dataSet2$ac_bhar_60d_4d_after_ann[2:10]))
>> m <- mean(nums, na.rm = T)
>> m
>
> The output of R is:
>> print(m, digits= 12)
> [1] 0.0166666666667
>
> The output in Excel is:
> 0,0161584031062386
>
> The numbers are imported correctly. Or does R reduce the imported numbers to
> any decimal place? (i don't think so ;-) )
>
> Best Regards,
> Felix
>
>
>
-- 
Sarah Goslee
http://www.functionaldiversity.org