[R] Multiplication of data frame with vector

Stein, Luba (AIM SE) LUBA.STEIN at allianz.com
Tue Jul 7 16:16:48 CEST 2009


 
Thank you for your help!
But is it possible to produe two vectors x and y with a given length such that there correlation is zero.

For me ist not enough just to simulate two vectors with there correlation.

Thank you,
Luba





-----Urspr?ngliche Nachricht-----
Von: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] Im Auftrag von David Freedman
Gesendet: Dienstag, 7. Juli 2009 14:53
An: r-help at r-project.org
Betreff: Re: [R] Multiplication of data frame with vector


Would the scale function work for this?  Something like
new=scale(df, center=T)

HTH,
david freedman

cir p wrote:
> 
> 
> 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!
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> 

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