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Fixed version of twitterMap.R by Simply Statistics Blog. Fixed because currently you need oAuth to query user data.
More details here http://lc0.github.io/blog/2013/08/25/twitter-word-cloud-with-r/
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| --- from_file | |
| +++ untitled 2 | |
| @@ -77,16 +77,16 @@ | |
| # Get location data | |
| cat("Getting data from Twitter, this may take a moment.\n") | |
| - tmp = getUser(userName, cainfo="cacert.pem") | |
| + tmp = getUser(userName) | |
| if(is.null(userLocation)){ | |
| userLocation = location(tmp) | |
| userLocation = trim(userLocation) | |
| if(nchar(userLocation) < 2){stop("We can not find your location from Twitter")} | |
| } | |
| - followers=tmp$getFollowers(n=nMax, cainfo="cacert.pem") | |
| + followers=tmp$getFollowers(n=nMax) | |
| followersLocation = sapply(followers,function(x){location(x)}) | |
| - following = tmp$getFriends(n=nMax, cainfo="cacert.pem") | |
| + following = tmp$getFriends(n=nMax) | |
| followingLocation = sapply(following,function(x){location(x)}) |
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| ######################################################################################### | |
| # An R function to make a personalized map of people you follow and who follow you on twitter. | |
| # R functions Copyright (C) 2011 Jeff Leek ([email protected]), and the Simply Statistics Blog | |
| # (http://simplystatistics.tumblr.com, http://twitter.com/simplystats) | |
| # | |
| # This program is free software: you can redistribute it and/or modify | |
| # it under the terms of the GNU General Public License as published by | |
| # the Free Software Foundation, either version 3 of the License, or | |
| # (at your option) any later version. | |
| # | |
| # This program is distributed in the hope that it will be useful, | |
| # but WITHOUT ANY WARRANTY; without even the implied warranty of | |
| # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | |
| # GNU General Public License for more details, see <http://www.gnu.org/licenses/>. | |
| # | |
| # | |
| # These functions depend on the packages: twitteR, maps, geosphere, and RColorBrewer. It will | |
| # attempt to install them if they are not installed when you source this function. Care | |
| # should be used when using this function since the twitteR API has rate limiting in place. | |
| # If you have a large number of followers, or run the function many times, you may be | |
| # rate limited. | |
| # | |
| # | |
| # How to use: | |
| # # Source the function | |
| # source("http://biostat.jhsph.edu/~jleek/code/twitterMap.R") | |
| # | |
| # # Make your twittermap | |
| # twitterMap("simplystats") | |
| # | |
| # #If your location can't be found or latitude longitude can't be calculated | |
| # #choose a bigger city near you. The list of cities used by twitterMap | |
| # #can be found like so: | |
| # data(world.cities) | |
| # grep("Baltimore",world.cities[,1]) | |
| # | |
| # # Then make the map using that big city | |
| # twitterMap("simplystats",userLocation="Baltimore") | |
| # | |
| # #If you want both your followers and people you follow in a plot you can do: | |
| # twitterMap("simplystats",plotType="both") | |
| # | |
| ######################################################################################## | |
| getPckg <- function(pckg) install.packages(pckg, repos = "http://cran.r-project.org") | |
| pckg = try(require(twitteR)) | |
| if(!pckg) { | |
| cat("Installing 'twitteR' from CRAN\n") | |
| getPckg("twitteR") | |
| require("twitteR") | |
| } | |
| pckg = try(require(maps)) | |
| if(!pckg) { | |
| cat("Installing 'maps' from CRAN\n") | |
| getPckg("maps") | |
| require("maps") | |
| } | |
| pckg = try(require(geosphere)) | |
| if(!pckg) { | |
| cat("Installing 'geosphere' from CRAN\n") | |
| getPckg("geosphere") | |
| require("geosphere") | |
| } | |
| pckg = try(require(RColorBrewer)) | |
| if(!pckg) { | |
| cat("Installing 'RColorBrewer' from CRAN\n") | |
| getPckg("RColorBrewer") | |
| require("RColorBrewer") | |
| } | |
| twitterMap <- function(userName,userLocation=NULL,fileName="twitterMap.pdf",nMax = 1000,plotType=c("followers","both","following")){ | |
| # Get location data | |
| cat("Getting data from Twitter, this may take a moment.\n") | |
| tmp = getUser(userName, cainfo="cacert.pem") | |
| if(is.null(userLocation)){ | |
| userLocation = location(tmp) | |
| userLocation = trim(userLocation) | |
| if(nchar(userLocation) < 2){stop("We can not find your location from Twitter")} | |
| } | |
| followers=tmp$getFollowers(n=nMax, cainfo="cacert.pem") | |
| followersLocation = sapply(followers,function(x){location(x)}) | |
| following = tmp$getFriends(n=nMax, cainfo="cacert.pem") | |
| followingLocation = sapply(following,function(x){location(x)}) | |
| # Load the geographic data | |
| data(world.cities) | |
| data(us.cities) | |
| data(canada.cities) | |
| # Find the latitude and longitude of the user | |
| cat("Getting geographic (latitude/longitude) of Twitter users.\n") | |
| userLL <- findLatLon(userLocation)$latlon | |
| if(any(is.na(userLL))){stop("We can't find the latitude and longitude of your location from Twitter")} | |
| # Find the latitude and longitude of each of the followers/following | |
| # and calcualte the distance to the user | |
| followersLL = matrix(NA,nrow=length(followers),ncol=4) | |
| followingLL = matrix(NA,nrow=length(following),ncol=4) | |
| for(i in 1:length(followers)){ | |
| if(length(followersLocation[[i]]) > 0){ | |
| tmpLL = findLatLon(trim(followersLocation[[i]])) | |
| if(any(!is.na(tmpLL$latlon))){ | |
| followersLL[i,] = c(unlist(tmpLL$latlon),distCosine(userLL,tmpLL$latlon),unlist(tmpLL$cont)) | |
| } | |
| } | |
| } | |
| for(i in 1:length(following)){ | |
| if(length(followingLocation[[i]]) > 0){ | |
| tmpLL = findLatLon(trim(followingLocation[[i]])) | |
| if(any(!is.na(tmpLL$latlon))){ | |
| followingLL[i,] = c(unlist(tmpLL$latlon),distCosine(userLL,tmpLL$latlon),unlist(tmpLL$cont)) | |
| } | |
| } | |
| } | |
| followingLL = followingLL[order(-followingLL[,3]),] | |
| followersLL = followersLL[order(-followersLL[,3]),] | |
| followingLL = followingLL[!is.na(followingLL[,1]),] | |
| followersLL = followersLL[!is.na(followersLL[,1]),] | |
| cat("Plotting results.\n") | |
| # Set up the colors | |
| cols = brewer.pal(7,"Set2") | |
| # Both followers and following | |
| if(plotType=="both"){ | |
| pdf(fileName,height=12,width=10) | |
| data(worldMapEnv) | |
| par(mfrow=c(2,1),mar=rep(0,4)) | |
| map('world',col="#191919",bg="black",fill=T,mar=rep(0,4),border=0) | |
| mtext(paste("@",userName," Follower Map",sep=""),col="lightgrey") | |
| nFollowers = dim(followersLL)[1] | |
| for(i in 1:nFollowers){ | |
| greatC = getGreatCircle(userLL,followersLL[i,1:2]) | |
| lines(greatC,col=cols[followersLL[i,4]],lwd=0.8) | |
| } | |
| legend(-180,0,legend = c(paste("Asia",sum(followersLL[,4]==1)),paste("Africa",sum(followersLL[,4]==2)),paste("N. America",sum(followersLL[,4]==3)),paste("S. America",sum(followersLL[,4]==4)),paste("Australia/N.Z.",sum(followersLL[,4]==5)),paste("Europe",sum(followersLL[,4]==6))),text.col=cols[1:6],bg="black",cex=0.75) | |
| map('world',col="#191919",bg="black",fill=T,mar=rep(0,4),border=0) | |
| mtext(paste("@",userName," Following Map",sep=""),col="lightgrey") | |
| nFollowing = dim(followingLL)[1] | |
| for(i in 1:nFollowing){ | |
| greatC = getGreatCircle(userLL,followingLL[i,1:2]) | |
| lines(greatC,col=cols[followingLL[i,4]],lwd=0.8) | |
| } | |
| legend(-180,0,legend = c(paste("Asia",sum(followingLL[,4]==1)),paste("Africa",sum(followingLL[,4]==2)),paste("N. America",sum(followingLL[,4]==3)),paste("S. America",sum(followingLL[,4]==4)),paste("Australia/N.Z.",sum(followingLL[,4]==5)),paste("Europe",sum(followingLL[,4]==6))),text.col=cols[1:6],bg="black",cex=0.75) | |
| mtext("Created by @simplystats twitterMap",side=1,adj=1,cex=0.8,col="grey") | |
| dev.off() | |
| } | |
| ## Just followers | |
| if(plotType=="followers"){ | |
| pdf(fileName,height=6,width=10) | |
| data(worldMapEnv) | |
| map('world',col="#191919",bg="black",fill=T,mar=rep(0,4),border=0) | |
| mtext(paste("@",userName," Follower Map",sep=""),col="lightgrey") | |
| nFollowers = dim(followersLL)[1] | |
| for(i in 1:nFollowers){ | |
| greatC = getGreatCircle(userLL,followersLL[i,1:2]) | |
| lines(greatC,col=cols[followersLL[i,4]],lwd=0.8) | |
| } | |
| legend(-180,0,legend = c(paste("Asia",sum(followersLL[,4]==1)),paste("Africa",sum(followersLL[,4]==2)),paste("N. America",sum(followersLL[,4]==3)),paste("S. America",sum(followersLL[,4]==4)),paste("Australia/N.Z.",sum(followersLL[,4]==5)),paste("Europe",sum(followersLL[,4]==6))),text.col=cols[1:6],bg="black",cex=0.75) | |
| mtext("Created by @simplystats twitterMap",side=1,adj=1,cex=0.8,col="grey") | |
| dev.off() | |
| } | |
| ## Just following | |
| if(plotType=="following"){ | |
| pdf(fileName,height=6,width=10) | |
| data(worldMapEnv) | |
| map('world',col="#191919",bg="black",fill=T,mar=rep(0,4),border=0) | |
| mtext(paste("@",userName," Following Map",sep=""),col="lightgrey") | |
| nFollowing = dim(followingLL)[1] | |
| for(i in 1:nFollowing){ | |
| greatC = getGreatCircle(userLL,followingLL[i,1:2]) | |
| lines(greatC,col=cols[followingLL[i,4]],lwd=0.8) | |
| } | |
| legend(-180,0,legend = c(paste("Asia",sum(followingLL[,4]==1)),paste("Africa",sum(followingLL[,4]==2)),paste("N. America",sum(followingLL[,4]==3)),paste("S. America",sum(followingLL[,4]==4)),paste("Australia/N.Z.",sum(followingLL[,4]==5)),paste("Europe",sum(followingLL[,4]==6))),text.col=cols[1:6],bg="black",cex=0.75) | |
| mtext("Created by @simplystats twitterMap",side=1,adj=1,cex=0.8,col="grey") | |
| dev.off() | |
| } | |
| } | |
| findLatLon <- function(loc){ | |
| latlon = NA | |
| cont = NA | |
| # Asia = 1, Africa = 2, North America = 3, South America = 4, Australia/New Zealand = 5, Europe = 6 | |
| continents = matrix(NA,nrow=length(unique(world.cities[,2])),ncol=2) | |
| continents[,1] = unique(world.cities[,2]) | |
| continents[1:10,2] = c(1,1,1,2,1,1,1,1,1,1) | |
| continents[11:20,2]= c(1,1,2,1,1,2,1,2,2,2) | |
| continents[21:30,2] = c(2,1,6,6,6,6,6,6,6,6) | |
| continents[31:40,2] = c(6,6,6,6,2,4,4,1,2,1) | |
| continents[41:50,2] = c(4,6,1,4,6,1,3,1,6,6) | |
| continents[51:60,2] = c(3,2,4,2,6,1,6,1,3,2) | |
| continents[61:70,2] = c(1,2,2,2,3,6,3,3,6,6) | |
| continents[71:80,2] = c(1,1,2,6,3,4,3,4,6,1) | |
| continents[81:90,2] = c(3,3,3,2,2,6,6,6,6,4) | |
| continents[91:100,2] = c(2,5,2,2,3,1,1,1,1,1) | |
| continents[101:110,2] = c(1,2,1,1,1,3,2,5,1,6) | |
| continents[111:120,2] = c(1,6,1,1,2,6,1,1,6,2) | |
| continents[121:130,2] = c(6,6,6,1,1,3,4,3,4,2) | |
| continents[131:140,2] = c(6,6,2,2,1,1,1,4,1,1) | |
| continents[141:150,2] = c(1,2,2,1,1,1,4,6,6,2) | |
| continents[151:160,2] = c(4,1,1,1,1,2,4,6,2,2) | |
| continents[161:170,2] = c(1,2,2,1,6,2,1,1,6,1) | |
| continents[171:180,2] = c(1,1,1,2,6,2,2,6,1,1) | |
| continents[181:190,2] = c(2,6,2,1,6,6,3,3,3,3) | |
| continents[191:200,2] = c(2,2,2,2,3,2,3,2,3,1) | |
| continents[201:210,2] = c(3,2,2,2,2,2,2,1,6,2) | |
| continents[211:220,2] = c(1,3,1,6,2,4,3,6,3,4) | |
| continents[221:230,2] = c(1,1,1,3,2,3,3,6,1,6) | |
| continents[231:232,2] = c(2,1) | |
| # Get the first element of the location | |
| # firstElement = strsplit(loc,"[^[:alnum:]]")[[1]][1] | |
| firstElement = strsplit(loc,",")[[1]][1] | |
| if(is.na(firstElement)){firstElement="zzzzzzzzz"} | |
| # See if it is a city | |
| tmp = grep(firstElement,world.cities[,1],fixed=TRUE) | |
| tmp2 = grep(firstElement,state.name,fixed=TRUE) | |
| tmp3 = grep(firstElement,world.cities[,2],fixed=TRUE) | |
| if(length(tmp) == 1){ | |
| latlon = world.cities[tmp,c(5,4)] | |
| cont = continents[which(world.cities[tmp,2]==continents[,1]),2] | |
| }else if(length(tmp) > 1){ | |
| tmpCities = world.cities[tmp,] | |
| latlon = tmpCities[which.max(tmpCities$pop),c(5,4)] | |
| cont = continents[which(tmpCities[which.max(tmpCities$pop),2]==continents[,1]),2] | |
| }else if(length(tmp2) == 1){ | |
| latlon = c(state.center$x[tmp2],state.center$y[tmp2]) | |
| cont = 3 | |
| }else if(length(tmp3) > 0){ | |
| tmpCities = world.cities[tmp3,] | |
| latlon = tmpCities[which.max(tmpCities$pop),c(5,4)] | |
| cont = continents[which(tmpCities[which.max(tmpCities$pop),2]==continents[,1]),2] | |
| } | |
| return(list(latlon=latlon,cont=as.numeric(cont))) | |
| } | |
| getGreatCircle = function(userLL,relationLL){ | |
| tmpCircle = greatCircle(userLL,relationLL) | |
| start = which.min(abs(tmpCircle[,1] - userLL[1,1])) | |
| end = which.min(abs(tmpCircle[,1] - relationLL[1])) | |
| greatC = tmpCircle[start:end,] | |
| return(greatC) | |
| } | |
| trim <- function (x) gsub("^\\s+|\\s+$", "", x) |
so it dosen't work can you help to find someway ?
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so it dosen't work can you help to find someway ?