Hi:
Natasha said:
********
I changed it so i hope it will look better now
the matrix is like this:
Age No. Age No. Age No.
Center1 5 2 8 7
Center2 10 7 20 9 4 10
column name = sequence of age-no.
But what I want the data to look like is this
Age
1 2 3 4 5 6 7 8 9 10
20
Center1 2 7
Center2
10 7 9
column name= age of ppl
entries = number of ppl with that age in on center
*********
It's a continuation of the reshape problem, but we have to
change the NAs in the reshaped data frame to zeros first:
df2[is.na(df2)] <- 0
xtabs(n ~ center + age, data = df2)
age
center 5 6 7 8 9 10 11 12 13 14
1 0 10 0 13 0 9 0 7 0 10
2 0 0 12 14 0 0 16 0 0 13
3 6 0 0 0 10 0 12 0 9 0
How's that?
Dennis
On Sun, Sep 12, 2010 at 9:46 AM, Dennis Murphy <djmu...@gmail.com> wrote:
> Hi:
>
> Here's a made up example using the reshape function:
>
> Input data:
> df <- structure(list(center = 1:3, age1 = c(6L, 7L, 5L), n1 = c(10L,
> 12L, 6L), age2 = c(8L, 8L, 8L), n2 = c(13L, 14L, NA), age3 = c(10L,
> 10L, 9L), n3 = c(9L, NA, 10L), age4 = c(12L, 11L, 11L), n4 = c(7L,
> 16L, 12L), age5 = c(14L, 14L, 13L), n5 = c(10L, 13L, 9L)), .Names =
> c("center",
> "age1", "n1", "age2", "n2", "age3", "n3", "age4", "n4", "age5",
> "n5"), class = "data.frame", row.names = c(NA, -3L))
>
> df
> center age1 n1 age2 n2 age3 n3 age4 n4 age5 n5
> 1 1 6 10 8 13 10 9 12 7 14 10
> 2 2 7 12 8 14 10 NA 11 16 14 13
> 3 3 5 6 8 NA 9 10 11 12 13 9
>
> # To reshape more than one variable at a time, you need
> # to put the sets of variables into a list, as follows:
>
> df2 <- reshape(df, idvar = 'center', varying =
> list(c(paste('age', 1:5, sep = '')), c(paste('n', 1:5, sep = ''))),
> v.names = c('age', 'n'), times = 1:5, direction = 'long')
> df2
> center time age n
> 1.1 1 1 6 10
> 2.1 2 1 7 12
> 3.1 3 1 5 6
> 1.2 1 2 8 13
> 2.2 2 2 8 14
> 3.2 3 2 8 NA
> 1.3 1 3 10 9
> 2.3 2 3 10 NA
> 3.3 3 3 9 10
> 1.4 1 4 12 7
> 2.4 2 4 11 16
> 3.4 3 4 11 12
> 1.5 1 5 14 10
> 2.5 2 5 14 13
> 3.5 3 5 13 9
>
> HTH,
> Dennis
>
> On Sun, Sep 12, 2010 at 7:45 AM, Natasha Asar <natasha.asa...@yahoo.com>wrote:
>
>> Greeting R helpers J
>> I am not familiar with R but I have to use it to analyze data set that I
>> have
>> (30,000 20,000)
>> I want to change the structure of the dataset and I am wondering how that
>> might
>> be possible in R
>> A main data looks like this: some entities are empty
>> Age No. Age No. Age No.
>> Center1 5 2 8
>> 7
>>
>> Center2 10 7 20
>> 9 4 10
>> But what I want the data to look like is
>> Age 1 2 3
>> 4 5 6 7 8
>> 9 10
20
>> Center1
>> 2 7
>> Center2
>> 10
>> 7 9
>>
>> It should read the entities one by one
>> when j is in age column take its value and consider it as the column
>> number for
>> new matrix
>> then go to next entity (j No. columns) and put that entity under the
>> columns
>> number identified in previous step.
>> In other word
>> it should get the each element in No. columns (one by one) and place them
>> in a
>> new matrix under the column number which are equal to entity of age
>> columns of
>> first matrix
>> i have tired ncol, and cbind and things like that but I guess im on the
>> wrong
>> path because it is not working. I am reading this fine with read.csv and
>> writing back the same way.
>> do you know how I can make this work?? Is it even possible to do something
>> like
>> this?
>> Thank you in advance
>> Natasha
>>
>>
>>
>> [[alternative HTML version deleted]]
>>
>>
>> ______________________________________________
>> 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.
>>
>>
>
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