On Nov 2, 2010, at 5:11 PM, Matevž Pavlič wrote:
Hi all,
I started to ask this in the other post, but it is off topis...so
here it is again.
I have a data.frame (created with the helpof this mail list) that
looks like this :
? table
> tbl <- table(c("HUMUS", "SLABO", "MALO", "SLABO"))
> tbl[order(tbl)][1]
HUMUS
1
Just make a function that does this to a vector and use lapply(dfrm,
func) on the dataframe.
--
David.
'data.frame': 22801 obs. of 15 variables:
$ V1 : chr "HUMUS" "SLABO" "MALO" "SLABO" ...
$ V2 : chr "IN" "GRANULIRAN" "PREPEREL" "VEZAN" ...
$ V3 : chr "HUMUSNA" "PE©ÈEN" "MELJAST" ",KONGLOMERAT," ...
$ V4 : chr "GLINA" "PROD" "PROD" "P0ROZEN," ...
$ V5 : chr "Z" "DO" "DO" "S" ...
$ V6 : chr "MALO" "r" "r" "PLASTMI" ...
$ V7 : chr "PODA," "=" "=" "GFs," ...
$ V8 : chr "LAHKO" "8Q" "60mm," "SIVORJAV" ...
$ V9 : chr "GNETNA," "mm," "S" "" ...
$ V10: chr "RJAVA" "S" "PRODNIKI," "" ...
$ V11: chr "" "PRODNIKI" "MALO" "" ...
$ V12: chr "" "DO" "PE©ÈEN" "" ...
$ V13: chr "" "R" "S" "" ...
$ V14: chr "" "=" "TANKIMI" "" ...
Is it possible to count which word occours most often in each field
(V1, V2, V3, ...) and which one is the second and so on. Ideally i
would like to create a table for each field (V1, V2, V3, ...) with
the prevailing word and the number of occurancies of that word in
that field (column) .
Hope that explains it ok...
Thank you, m
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