topic_means_stdized.R

topic_means_stdized.R

topic.means.stdized <- structure(list(publication = structure(c(1L, 2L, 3L, 1L, 2L, 
3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 
1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 
2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 
3L, 1L, 2L, 3L, 1L, 2L, 3L), class = c("ordered", "factor"), .Label = c("Al-Ahram English", 
"Daily News Egypt", "Egypt Independent")), topic = structure(c(1L, 
1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 
6L, 7L, 7L, 7L, 8L, 8L, 8L, 9L, 9L, 9L, 10L, 10L, 10L, 11L, 11L, 
11L, 12L, 12L, 12L, 13L, 13L, 13L, 14L, 14L, 14L, 15L, 15L, 15L, 
16L, 16L, 16L, 17L, 17L, 17L, 18L, 18L, 18L, 19L, 19L, 19L, 20L, 
20L, 20L), .Label = c("X0", "X1", "X2", "X3", "X4", "X5", "X6", 
"X7", "X8", "X9", "X10", "X11", "X12", "X13", "X14", "X15", "X16", 
"X17", "X18", "X19"), class = "factor"), proportion = c(0.00147919351749627, 
0.00160048693182287, 0.00192031955068086, 0.000498077623239853, 
0.00143305568570697, 0.00306886669105318, 0.00396006588845241, 
0.000382149378307192, 0.000657784733240396, 0.00117763143933363, 
0.00125069389453878, 0.0025716746661276, 0.00095641999578935, 
0.00153321252739491, 0.00251036747681574, 0.00149778129002801, 
0.00189313391063919, 0.0016090847993328, 0.00118960501975801, 
0.00188137832204267, 0.00192901665819932, 0.00259304749038142, 
0.00124254136124071, 0.00116441114837787, 0.000666996244265763, 
0.00189064071824134, 0.0024423630374929, 0.00190234179843548, 
0.0015878274747423, 0.00150983072682222, 0.00127913265173243, 
0.00163261079809365, 0.00208825655017392, 0.00248625865131705, 
0.00222795428567814, 0.000285787063004807, 0.00127739164489037, 
0.00212964125221434, 0.0015929671028953, 0.00469999112276388, 
0.00016633084009279, 0.000133678037143331, 0.00160966709664835, 
0.00188205806813922, 0.00150827483521243, 0.00265818221184659, 
0.00137921468954198, 0.000962603098611429, 0.0018266860751852, 
0.00138970062472121, 0.00178361330009359, 0.00194284793828415, 
0.00154019012690016, 0.00151696193481568, 0.00137233152589897, 
0.00225908446830382, 0.00136858400579722, 0.00129098264088314, 
0.00235863021475774, 0.00135038714435913), label = structure(c(17L, 
17L, 17L, 14L, 14L, 14L, 1L, 1L, 1L, 10L, 10L, 10L, 16L, 16L, 
16L, 20L, 20L, 20L, 6L, 6L, 6L, 11L, 11L, 11L, 13L, 13L, 13L, 
5L, 5L, 5L, 18L, 18L, 18L, 2L, 2L, 2L, 3L, 3L, 3L, 9L, 9L, 9L, 
7L, 7L, 7L, 12L, 12L, 12L, 4L, 4L, 4L, 8L, 8L, 8L, 19L, 19L, 
19L, 15L, 15L, 15L), .Label = c("Miscellaneous", "Foreign affairs", 
"Christian affairs", "Tourism", "Israel-Palestinian conflict", 
"Religious issues", "Culture", "Oil", "Football", "Unions and strikes", 
"Syrian civil war", "Regional violence", "Cairo affairs", "Morsi and the media", 
"Public economics", "Trials", "Muslim Brotherhood and politics", 
"Protests", "Social affairs", "Egypt governance (catch-all)"), class = c("ordered", 
"factor"))), .Names = c("publication", "topic", "proportion", 
"label"), row.names = c(NA, -60L), class = "data.frame")