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







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