在R中为N，Min / Max，SD，Mean和Median创建一个表格(Create a table for N, Min/Max, SD, Mean, and Median in R)

 我对R很新，所以请耐心等待这个基本问题。 我有一个使用data.table包创建的数据集DATA。 我在0到1之间创建了200个随机数，然后做了10000次，最后创建了一个数据表，用于每次迭代的描述性统计。 我的代码看起来像这样： 
 
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]
 
 数据看起来像这样： 
 
    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
.    ...     ... 
 
 等等 
 
 我想要做的是创建一个表格，找到累积样本均值的N，平均值，中位数，标准差，最小值和最大值（不是像上面那样每列的N）。 我需要输出看起来像这样： 
 
   N     Mean   Median    SD    Min    Max
 10000  .502     .499    .280  .002   .999
 
 我怎么能做到这一点？ 

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? 

原文：https://stackoverflow.com/questions/16342261