This code will be used to count number of links in my tweets collection. The collection is collected from 10 accounts. The questions is, how could I loop through the ten accounts in one code and drop the output in a table or graph? "Unames" is representing the name of the account. Thanks in adavance,
mydata <- read.csv("tweets.csv",sep=",", header=TRUE)
head(mydata)
dim(mydata)
colnames(mydata)
****#tweets for each university****
table(mydata$University)
Unames<- unique(mydata$University)
mystring <- function(Uname, string){
mydata_temp <- subset(mydata,University==Uname)
mymatch <- rep(NA,dim(mydata_temp)[1])
for(i in 1:dim(mydata_temp)[1]){
mymatch[i] <- length(grep(string, mydata_temp[i,2]))
}
return(mymatch)
}
**#web link e.g. (Here I would like to see the total links for all universities in table or graph. The below code is only giving me the output one by one!
mylink <- mystring(Unames[1],"http://")