R Dataset / Package quantreg / engel
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On this R-data statistics page, you will find information about the engel data set which pertains to Engel Data. The engel data set is found in the quantreg R package. You can load the engel data set in R by issuing the following command at the console data("engel"). This will load the data into a variable called engel. If R says the engel data set is not found, you can try installing the package by issuing this command install.packages("quantreg") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the engel R data set. The size of this file is about 7,941 bytes. Engel DataDescriptionEngel food expenditure data used in Koenker and Bassett(1982). This is a regression data set consisting of 235 observations on income and expenditure on food for Belgian working class households. Usagedata(engel) FormatA data frame containing 235 observations on 2 variables
ReferencesKoenker, R. and Bassett, G (1982) Robust Tests of Heteroscedasticity based on Regression Quantiles; Econometrica 50, 43–61. Examples## See also demo("engel1") ## --------------data(engel) plot(engel, log = "xy", main = "'engel' data (log - log scale)") plot(log10(foodexp) ~ log10(income), data = engel, main = "'engel' data (log10 - transformed)") taus <- c(.15, .25, .50, .75, .95, .99) rqs <- as.list(taus) for(i in seq(along = taus)) { rqs[[i]] <- rq(log10(foodexp) ~ log10(income), tau = taus[i], data = engel) lines(log10(engel$income), fitted(rqs[[i]]), col = i+1) } legend("bottomright", paste("tau = ", taus), inset = .04, col = 2:(length(taus)+1), lty=1) -- Dataset imported from https://www.r-project.org. |
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dataset-53263.csv | 7.75 KB |