search for: can2

...Map2 (which is also a map of Canada)? Thanks a lot for your hints! Dimitri ### A. Reading in Canada data at the province and then at the county level: library(raster) getData('ISO3') # Canada's code is "CAN" can1<-getData('GADM', country="CAN", level=1) can2<-getData('GADM', country="CAN", level=2) ### B. Creating Map1- with borders between provinces: can1 at data[["groups"]]<-1 # want all provinces to have the same color, but ideally I'd like the whole map to be transparent. can1 at data$groups<-as.factor(ca...

...48 obs. of 11 variables: $ Block: Factor w/ 4 levels "1","2","3","4": 1 2 3 4 1 2 3 4 1 2 ... $ Gp : Factor w/ 12 levels "D0","D1","D3",..: 9 9 9 9 10 10 10 10 11 11 ... $ Can1 : num 8.87 5.57 6.31 7.01 6.64 ... $ Can2 : num -3.76 -4.78 -4.63 -4.06 -3.13 ... $ Can3 : num 1.241 -0.561 -1.299 0.642 2.217 ... $ Can4 : num 1.313 -0.402 -1.631 2.481 0.384 ... $ Can5 : num -1.913 -1.103 -0.428 1.134 -0.937 ... $ Can6 : num -0.4219 -0.3593 1.2070 0.0652 -0.6424 ... $ Can7 : num 0.701 0.243 -0....

I am trying to create a frequency distribution and I am a bit confused. Here are the commands I have entered: > data <- read.csv(file="40609_sortedfinal.csv",head=TRUE,sep=",") > NumberOfActionsByStatus = data$STATUS > NumberOfActionsByUser = data$ETS_LOGIN > NumberOfBidOffer = data$BID_OFFER > NumberOfActionsByUser.freq = table(NumberOfActionsByUser) >