Standard response: Use lists instead.

Read An Intro to R to learn about lists. In fact,read an An Intro to R,
full stop ( if you have not already done so).

Cheers,
Bert

On Sun, Jun 24, 2012 at 2:15 PM, Taylor White
<taylorgentrywh...@gmail.com>wrote:

> Good day,
>
> For lack of a better solution (or perhaps I am ignorant to something
> more elegant), I have been bootstrapping panel data by hand so to
> speak and I would like to know if there is a way to define multiple
> variables in a loop using the loop variable.  I found a post (here:
> https://stat.ethz.ch/pipermail/r-help/2002-October/026305.html ) that
> discussed naming multiple variables but it didn't seem to allow me to
> define the variables as something more useful.  I tried the code
> immediately below (plus some variations) and it just didn't work.
>
> for (i in 1:20) {
> assign(paste("country.", i, sep = "") <- subset(OECDFiscal2, Country == i)
> }
>
>
> I included some sample code from what I've been working on below so
> one can see how it would be very useful to figure out how to define a
> series of variables from cross sectional units from a panel dataset.
>
>
> Any help would be much appreciated.
>
>
> Thanks,
>
> Taylor White
> UCLA
>
>
>
> ######Bootstrapping panel data by hand.  Create 4 variables from 3
> subsets of the original data. Resample each variable and recombine
> into one matrix.
>
>
> plmcoef <- array(0, c(1000, 4)) #creates an empty array to store
> regression coefficients
> plmfixef <- array(0, c(1000, 3)) #creates an empty array to store
> fixed effects intercepts from regressions
>
>
> for (i in 1:1000) {
> country1 <- as.data.frame(subset(OECDFiscal2, Country == 1))
> country2 <- as.data.frame(subset(OECDFiscal2, Country == 2))
> country3 <- as.data.frame(subset(OECDFiscal2, Country == 3))
>
> exp1 <- as.matrix(sample(country1$lagexpVSgdp, size =
> (nrow(country1)), replace = T))
> exp2 <- as.matrix(sample(country2$lagexpVSgdp, size =
> (nrow(country2)), replace = T))
> exp3 <- as.matrix(sample(country3$lagexpVSgdp, size =
> (nrow(country3)), replace = T))
>
> tax1 <- as.matrix(sample(country1$lagtaxVSgdp1, size =
> (nrow(country1)), replace = T))
> tax2 <- as.matrix(sample(country2$lagtaxVSgdp1, size =
> (nrow(country2)), replace = T))
> tax3 <- as.matrix(sample(country3$lagtaxVSgdp1, size =
> (nrow(country3)), replace = T))
>
> gdp1 <- as.matrix(sample(country1$yoygdpcapita, size =
> (nrow(country1)), replace = T))
> gdp2 <- as.matrix(sample(country2$yoygdpcapita, size =
> (nrow(country2)), replace = T))
> gdp3 <- as.matrix(sample(country3$yoygdpcapita, size =
> (nrow(country3)), replace = T))
>
> unemployment1 <- as.matrix(sample(country1$lagunemployment, size =
> (nrow(country1)), replace = T))
> unemployment2 <- as.matrix(sample(country2$lagunemployment, size =
> (nrow(country2)), replace = T))
> unemployment3 <- as.matrix(sample(country3$lagunemployment, size =
> (nrow(country3)), replace = T))
>
> country.year1 <- as.matrix(cbind(country1$Country, country1$Year2))
> country.year2 <- as.matrix(cbind(country2$Country, country2$Year2))
> country.year3 <- as.matrix(cbind(country3$Country, country3$Year2))
>
> country1.2 <- as.data.frame(cbind(country.year1, exp1, tax1, gdp1,
> unemployment1))
> country2.2 <- as.data.frame(cbind(country.year2, exp2, tax2, gdp2,
> unemployment2))
> country3.2 <- as.data.frame(cbind(country.year3, exp3, tax3, gdp3,
> unemployment3))
>
> data <- as.data.frame(rbind(country1.2, country2.2, country3.2))
>
> OECDsamplepanel <- pdata.frame(data, index = NULL, drop = F)
>
> plm <- plm(V5 ~ lag(V6, 1) + V3 + V4 + V5, data = OECDSamplepanel,
> model = "within")
>
> coefficients <- t(as.matrix(plm$coefficients))
> fixef <- t(as.matrix(fixef(plm)))
>
> plmcoef[i, 1:4] = coefficients
> plmfixef[i, 1:3] = fixef
>
> }
>
> ______________________________________________
> 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.
>



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

        [[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.

Reply via email to