Permalink
Cannot retrieve contributors at this time
Name already in use
A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
olympics/olympic_analysis.R
Go to fileThis commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
81 lines (62 sloc)
2.81 KB
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
getperformance <- function(type) { | |
#read in data | |
data <- read.csv("consolidated_olympic_datav4.csv") | |
#subset by game type (winter or summer) and for only countries that participated | |
datasub <- subset(data, GameType == type & Participant == 1) | |
#create log population and log GDP vars | |
datasub["logPop"] <- log(datasub$Pop) | |
datasub["logGDP"] <- log(datasub$GDP) | |
datasub["logGDPperCap"] <- log(datasub$GDP/datasub$Pop) | |
#create lag total medals var using DataCombine package | |
library(DataCombine) | |
datasub <- datasub[order(datasub$Country.Name, datasub$Year),] | |
datasub <- slide(datasub, Var = "TotalAdj", GroupVar = "Country.Name", slideBy = -1) | |
colnames(datasub)[26] <- "TotalAdjLagBy1" | |
#deal with NAs or inf in logGDPperCap var | |
datasub$logGDPperCap[which(is.nan(datasub$logGDPperCap))] = NA | |
datasub$logGDPperCap[which(datasub$logGDPperCap==Inf)] = NA | |
#create dummy var for Year | |
year.f = factor(datasub$Year) | |
year.dummies = model.matrix(~year.f) | |
#regression | |
fit <- lm(TotalAdj ~ logPop + logGDPperCap + TotalAdjLagBy1 + year.dummies, data = datasub, na.action = na.exclude) | |
print(summary(fit)) | |
#add predicted column | |
datasub["predicted"] <- fitted(fit) | |
datasub["residuals"] <- residuals(fit) | |
assign('datasub',datasub,envir=.GlobalEnv) | |
#create plot | |
type_lab <- paste(type, "- Predicted Total Medals vs. Actual Total Medals") | |
plot(datasub$predicted, datasub$TotalAdj, | |
main = type_lab, | |
cex.main = 1, | |
xlab = "Predicted Total Medals", | |
ylab = "Actual Total Medals", | |
col = rgb(70,130,180,100,maxColorValue=255), | |
pch = 19,) | |
abline(lm(datasub$predicted~datasub$TotalAdj), col="grey") # regression line (y~x) | |
#subset out NA values and set min of predicted value to 0 | |
regoutput <- datasub[complete.cases(datasub),] | |
regoutput["predicted"] <- round(regoutput$predicted, 0) | |
regoutput$predicted[regoutput$predicted < 0] <- 0 | |
colnames(regoutput)[3] <- "CountryName" | |
colnames(regoutput)[4] <- "CountryCode" | |
colnames(regoutput)[9] <- "Yearextra" | |
#min and max hardcode reductions | |
#summer | |
#regoutput$residuals[1360] <-45 | |
#regoutput$residuals[1361] <- -35 | |
#assign to global environment and save file | |
assign('regoutput',regoutput,envir=.GlobalEnv) | |
filetosave <- paste(type, "output.csv", sep="") | |
write.csv(regoutput, file = filetosave) | |
simpleoutput <- regoutput[, c("Year", "CountryName", "TotalAdj", "predicted", "residuals", "Gold", "Silver", "Bronze", "locCity")] | |
assign('simpleoutput',simpleoutput,envir=.GlobalEnv) | |
filetosave <- paste("simple", type, "output.csv", sep="") | |
write.csv(simpleoutput, file = filetosave) | |
#write summary output to an HTML table using xtable | |
library(xtable) | |
sumoutput <- summary(fit) | |
xtableoutput <- xtable(sumoutput) | |
coef_rl = print(xtableoutput, type = "html") | |
} |