I think your problem is that HL07 is not a data frame but a list. read.spss()
produces a list rather than a data frame by default, and svydesign() requires a
data frame. You can use as.data.frame() to turn HL07 into a data.frame.
The weights also look a bit strange -- you have sampling probabilities ranging
from 0.27 to 3 -- this isn't necessarily wrong but is unusual.
-thomas
On Sun, 9 May 2010, Stefán Jónsson wrote:
Dear Forum
I a running svychisq from the survey package and get errors with the number
of dimensions,
errors that I do not understand and do not know how to fix.
I ask you kindly to help me out.
The eror message follows with some information below. I hope there are
enough information to help me to fix the problem if not please let me know
what is needed
Best
Stefan Hrafn Jonsson
QHISQ2 <- svychisq(~S73 + S36 , design = HL7design , statistic = "Chisq")
Error in design$variables[, as.character(rows)] :
incorrect number of dimensions
HL07 <- read.spss("C:/Users/Stefan/Desktop/export1.por", use.value.labels =
FALSE)
HL7design <-svydesign(id=~ID2,strata=~STRATA, weights=~VIGT2, data=HL07 )
summary(HL7design)
summary(HL7design)
Stratified Independent Sampling design (with replacement)
svydesign(id = ~ID2, strata = ~STRATA, weights = ~VIGT2, data = HL07)
Probabilities:
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.3779 0.6933 1.2880 1.3270 1.6970 3.0980
Stratum Sizes:
1 2 3 4 5 6 11 12 13 14 15 16
obs 414 403 447 479 501 464 364 453 514 540 534 521
design.PSU 414 403 447 479 501 464 364 453 514 540 534 521
actual.PSU 414 403 447 479 501 464 364 453 514 540 534 521
Data variables:
NULL
xtabs(~HL07$S73 + HL07$S36 )
HL07$S36
HL07$S73 1 2 3 4 5 6 7 8 9
1 199 248 517 707 736 156 57 10 2
2 458 294 636 992 543 55 18 3 3
QHISQ2 <- svychisq(~HL07$S73 + HL07$S36 , design = HL7design , statistic
= "Chisq")
Error in design$variables[, as.character(rows)] :
incorrect number of dimensions
QHISQ2 <- svychisq(~S73 + S36 , design = HL7design , statistic = "Chisq")
Error in design$variables[, as.character(rows)] :
incorrect number of dimensions
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and provide commented, minimal, self-contained, reproducible code.
