[R] summary of summaries
Henrique Dallazuanna
wwwhsd at gmail.com
Mon Mar 17 20:45:37 CET 2008
Try this:
summary(do.call(rbind, lapply(list(df1, df2), sapply, summary)))
On 17/03/2008, Bernd Jagla <baj2107 at columbia.edu> wrote:
> Hi,
>
>
>
> I have a few hundreds files with numerical information of different length
> but with the same column structure. I use the following code to get summary
> statistics
>
>
>
> fplist <- list.files(pattern=".*analysis")
>
> for (fp in fplist){
>
> x2 <- read.delim(fp)
>
> summary(x2)
>
> }
>
>
>
> Summary gives something like:
>
> summary (x2)
>
> V1 V2 V3 V4 V5
> V6 V7 V8 V9
>
> Min. :11.00 4:9 : 11 Min. : 1.00 Min. : 19128823 Min. :
> 19812573 Min. : 0.00 Min. : 1.00 Min. :0.1538 Min. :
> 1.000
>
> 1st Qu.:13.00 2:9 : 9 1st Qu.: 4.50 1st Qu.: 48952449 1st Qu.:
> 49085044 1st Qu.: 14.33 1st Qu.: 3.00 1st Qu.:0.7223 1st Qu.:
> 5.500
>
> Median :20.00 3:10 : 9 Median :10.00 Median : 63129783 Median :
> 63218749 Median : 61.54 Median : 10.00 Median :1.0069 Median :
> 8.000
>
> Mean :25.68 4:8 : 9 Mean :12.20 Mean : 72876334 Mean :
> 73051728 Mean : 175.39 Mean : 32.64 Mean :1.0522 Mean :
> 9.644
>
> 3rd Qu.:34.00 3:8 : 7 3rd Qu.:23.00 3rd Qu.: 96700016 3rd Qu.:
> 96713037 3rd Qu.: 264.88 3rd Qu.: 40.00 3rd Qu.:1.2586 3rd
> Qu.:12.000
>
> Max. :72.00 4:13 : 6 Max. :23.00 Max. :203343850 Max.
> :204024777 Max. :1440.30 Max. :289.00 Max. :2.7690 Max.
> :27.000
>
> (Other):300
>
>
> V10
>
> Min. : 6.00
>
> 1st Qu.:10.00
>
> Median :14.00
>
> Mean :18.03
>
> 3rd Qu.:24.00
>
> Max. :52.00
>
>
>
> Now I want to get a summary statistics of the summaries. Obviously I would
> need to store the summary results inarrays. But I was wondering if that
> makes sense and how an expert would solve this? I don't want to create an
> array for each column if possible.
>
>
>
> Thanks for the kind support,
>
>
>
> Bernd
>
>
> [[alternative HTML version deleted]]
>
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> and provide commented, minimal, self-contained, reproducible code.
>
--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
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