I am using a simple R statement to read in the file:
a <- read.csv("Sample.dat", header=TRUE)
There is alot of data but the first few lines look like:
DayOfYear,Quantity,Fraction,Category,SubCategory
1,82,0.0000390392720794458,(Unknown),(Unknown)
2,78,0.0000371349173438631,(Unknown),(Unknown)
. . .
71,2,0.0000009521773677913,WOMEN,Piratesses
72,4,0.0000019043547355827,WOMEN,Piratesses
73,3,0.0000014282660516870,WOMEN,Piratesses
74,14,0.0000066652415745395,WOMEN,Piratesses
75,2,0.0000009521773677913,WOMEN,Piratesses
If I read the data in as above, the command
a[1]
results in the output
[ reached getOption("max.print") -- omitted 16193 rows ]]
Shouldn't this be the first row?
a$Category[1]
results in the output
[1] (Unknown)
4464 Levels: Tags ... WOMEN
But
a$Category[365]
gives me:
[1] 7 Plates (Dessert),Western\n120,5,0.0000023804434194784,7 Plates
(Dessert)
4464 Levels: Tags ... WOMEN
There is something fundamental about either vectors of the read.csv command
that I am missing here.
Thank you.
Kevin
---- jim holtman <[EMAIL PROTECTED]> wrote:
> Please provide commented, minimal, self-contained, reproducible code,
> or at least a before/after of what you data would look like. Taking a
> guess at what you are asking, here is one way of doing it:
>
>
> > x <- data.frame(cat=sample(LETTERS[1:3],20,TRUE),a=1:20, b=runif(20))
> > x
> cat a b
> 1 B 1 0.65472393
> 2 C 2 0.35319727
> 3 B 3 0.27026015
> 4 A 4 0.99268406
> 5 C 5 0.63349326
> 6 A 6 0.21320814
> 7 C 7 0.12937235
> 8 A 8 0.47811803
> 9 A 9 0.92407447
> 10 A 10 0.59876097
> 11 A 11 0.97617069
> 12 A 12 0.73179251
> 13 B 13 0.35672691
> 14 C 14 0.43147369
> 15 C 15 0.14821156
> 16 C 16 0.01307758
> 17 B 17 0.71556607
> 18 B 18 0.10318424
> 19 C 19 0.44628435
> 20 B 20 0.64010105
> > # create a list of the indices of the data grouped by 'cat'
> > split(seq(nrow(x)), x$cat)
> $A
> [1] 4 6 8 9 10 11 12
>
> $B
> [1] 1 3 13 17 18 20
>
> $C
> [1] 2 5 7 14 15 16 19
>
> > # or do you want the data
> > split(x, x$cat)
> $A
> cat a b
> 4 A 4 0.9926841
> 6 A 6 0.2132081
> 8 A 8 0.4781180
> 9 A 9 0.9240745
> 10 A 10 0.5987610
> 11 A 11 0.9761707
> 12 A 12 0.7317925
>
> $B
> cat a b
> 1 B 1 0.6547239
> 3 B 3 0.2702601
> 13 B 13 0.3567269
> 17 B 17 0.7155661
> 18 B 18 0.1031842
> 20 B 20 0.6401010
>
> $C
> cat a b
> 2 C 2 0.35319727
> 5 C 5 0.63349326
> 7 C 7 0.12937235
> 14 C 14 0.43147369
> 15 C 15 0.14821156
> 16 C 16 0.01307758
> 19 C 19 0.44628435
>
>
> On Sat, Jul 12, 2008 at 3:32 AM, <[EMAIL PROTECTED]> wrote:
> > I have search the archive and I could not find what I need so I will try to
> > ask the question here.
> >
> > I read a table in (read.table)
> >
> > a <- read.table(.....)
> >
> > The table has column names like DayOfYear, Quantity, and Category.
> >
> > The values in the row for Category are strings (characters).
> >
> > I want to get all of the rows grouped by Category. The number of unique
> > category names could be around 50. Say for argument sake the number of
> > categories is exactly 50. Can I somehow get a vector of length 50
> > containing the rows corresponding to the category (another vector)? I
> > realize I can access any row a[i]$Category (right?). But I wanta vector
> > containing the rows corresponding to each distinct Category name.
> >
> > Thank you.
> >
> > Kevin
> >
> > ______________________________________________
> > R-help@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.
> >
>
>
>
> --
> Jim Holtman
> Cincinnati, OH
> +1 513 646 9390
>
> What is the problem you are trying to solve?
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