Created
August 8, 2016 17:10
-
-
Save strongh/b3ab0d2a00ff25f03b653b7bc46b0c11 to your computer and use it in GitHub Desktop.
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
nrs <- rep(seq(1,5,1),2) | |
sex <- c("M","M","M","M","M","F","F","F","F","F") | |
links <- NULL | |
#Loop to create 10 links, 5 for the male age grou 18-24, 5 for women agegroup 18-24. However, | |
#there are only 3 pages in the male age group with a table. | |
for (i in 1:length(nrs) ) { | |
links[i] = paste("http://www.ironman.com/triathlon/events/americas/ironman/texas/results.aspx?p=",nrs[i],"&race=texas&rd=20160514&sex=",sex[i],"&agegroup=18-24&loc=",sep="") | |
} | |
resultlist <- list() #create empty list to store results | |
for (i in 1:length(links)) { | |
tryCatch({ | |
results = readHTMLTable(links[i], | |
as.data.frame = TRUE, | |
which=1, | |
stringsAsFactors = FALSE, | |
header = TRUE) #get data | |
resultlist[[i]] <- results #combine results in one big list | |
}, error = function(e){ | |
print(paste("Failed for ", links[i])) | |
}) | |
} | |
results = do.call(rbind, resultlist) #combine results into dataframe |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment