I'm very new to R, so please bear with me on this basic question. I have a dataset, DATA, that I created using the data.table package. I created 200 random numbers between 0 and 1, then did that 10000 times, finally creating a data table for with descriptive statistics for each iteration. My code for it looked like this:
rndm<-runif(200, min=0, max=1)
reps <- data.table(x=runif(200*10000),iter=rep(1:200,each=10000))
DATA <- reps[,list(mean=mean(rndm),median=median(rndm),sd=sd(rndm),min=min(rndm),
max=max(rndm)),by=iter]
The data looks something like this:
Mean Median SD Min Max
1 0.521 0.499 0.287 0.010 0.998
2 0.511 0.502 0.290 0.009 0.996
. ... ...
etc.
What I want to do is create a table that finds N, mean, median, standard deviation, minimum, and maximum of the accumulated sample means (not of each column like above). I need the output to look something like this:
N Mean Median SD Min Max
10000 .502 .499 .280 .002 .999
How can I accomplish this?
You could also define a function. This approach allows you to make the same table for a different variable.
summaryfun <- function(x)list(N=length(x),Mean=mean(x),Median=median(x),SD=sd(x),Min=min(x),Max=max(x))
DATA[,summaryfun(mean)]
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