Generation of Normal Random Numbers

Dear R helpers

I have a data frame as given below

df = data.frame(A = c(776,827,836,995,855,1026,1203,1363,965,1195),
?????????????????????? B =
c(806,953,1049,1056,1243,764,1148,1162,948,1154),
?????????????????????? C =
c(959,1155,1193,1163,863,1070,1087,877,1132,944),
?????????????????????? D =
c(906,760,978,1170,1009,883,1007,960,828,113))

# Actually the real data has number of vectors and not only A, B, C and
D.

m = as.numeric(lapply(df, mean))
s = as.numeric(lapply(df, sd))

gives

m

[1] 1004.1 1028.3 1044.3? 861.4

s

[1] 194.5899 158.7052 123.3000 285.8695

I need to generate 25 (normal) random numbers for each of these mean
and corresponding standard deviation combination (m[i], s[i]). i.e. I
need to have a table (dim 25 X? 4) giving me random numbers. 


rnorm(25, m[1], s[1])?? rnorm(25, m[2], s[2])?? rnorm(25, m[3], s[3])?
rnorm(25, m[4], s[4])
?? ....................?????????? .........................??????????
............... ? ? ? ? ? ? ? ? .................
?? ....................?????????? .........................??????????
............... ? ? ? ? ? ? ? ? .................
?? ....................?????????? .........................??????????
............... ? ? ? ? ? ? ? ? .................
?? ....................?????????? .........................??????????
............... ? ? ? ? ? ? ? ? .................


?? ....................?????????? .........................??????????
............... ? ? ? ? ? ? ? ? .................????? 


Kindly guide


Thanking in advance

Sagga K







[[alternative HTML version deleted]]