Dear group:
sorry for my beginners question, but I'm rather new to R and was searching high
and low without success:
I have a data frame (df) with variables in the rows and observations in the
columns like (the actual data frame has 15 columns and 1789 rows):
early1 early2 early3 early4 early5
M386T1000 57056 55372 58012 55546 57309
M336T90 11063 10312 10674 10840 11208
M427T91 12064 11956 12692 12340 11924
M429T91 4594 3890 4096 4019 4204
M447T90 26553 27647 26889 26751 26929
Now I'm trying to transform each value column-wise to make columns to all have
the same mean with:
df * mean(mean(df)) / mean(df).
I just can't get my head around this: mean(df) gives me the correct column
means vector, and mean(mean(df)) gives me the correct total mean. The above
operation works correctly for individual rows, i.e. if I do
df[1,]*mean(mean(df))/mean(df)
Can someone tell me what I am doing wrong??
Thanks!
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