I want to import some "target values" to normalize elements of a
dataframe. I'm summarizing the existing totals using
as.matrix(xtabs(~tripid_nu+lineon, data=SurveyData)) and reading a .csv
table of target values. I can't even get them to list out as similar
data items.
My idea is to do something like this, but I don't know how to do it in R
SurveyData$X1 = NewTargetX1Sums[Trip,Stop] /
CurrentX1Sums[Trip,Stop]
That is; a different value for X1 for each
[Trip,Stop] combination
Should I be using as.matrix?
Why doesn't NewTargetX1Sums "name the rows" when CurrentX1Sums does?
Why does NewTargetX1Sums have dots in the label spaces?
Do I have the right data organization for my problem?
What I've done:
> SurveyData <- read.spss("C:/Data/R/orange_delivery.sav",
use.value.labels=TRUE, max.value.labels=Inf, to.data.frame=TRUE)
> NewTargetData <- read.table("C:/Data/R/NewTarget.csv", header=TRUE,
sep=",", na.strings="NA", dec=".")
>
> CurrentX1Sums <- as.matrix(xtabs(~tripid_nu+lineon, data=SurveyData))
> CurrentX2Sums <- apply(CurrentX1Sums, 1, sum)
> NewTargetX1Sums <- as.matrix(NewTargetData)
> NewTargetX2Sums <- apply(NewTargetX1Sums, 1, sum)
>
> CurrentX1Sums
lineon
tripid_nu Warner Center De Soto Pierce College Tampa Reseda Balboa
Woodley Sepulveda Van Nuys Woodman Valley College Laurel Canyon North
Hollywood
9011880 1 0 2 1 0 2
1 0 0 0 1 0
0
9011890 0 0 0 0 0 0
1 0 0 0 0 1
0
9011960 1 1 2 0 1 1
0 1 3 2 1 0
0
9011970 0 0 0 0 1 0
0 1 6 1 1 1
14
9012040 1 1 1 3 2 7
1 1 1 0 0 0
0
{Snip}
> NewTargetX1Sums
tripid_nu Warner.Center De.Soto Pierce.College Tampa Reseda Balboa
Woodley Sepulveda Van.Nuys Woodman Valley.College Laurel.Canyon
North.Hollywood
[1,] 9011880 5 2 2 2 2 2
2 2 2 2 6 4
1
[2,] 9011890 1 1 1 1 1 1
2 1 1 1 1 2
1
[3,] 9011960 2 2 2 1 2 2
1 2 3 2 2 1
1
[4,] 9011970 1 1 1 1 2 1
1 2 6 2 2 2
24
[5,] 9012040 2 2 2 3 2 7
2 2 2 1 1 1
1
{Snip}
Robert Farley
Metro
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Mail Stop 99-23-7
Los Angeles, CA 90012-2952
Voice: (213)922-2532
Fax: (213)922-2868
www.Metro.net
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