This is the code for my post on www.stephenpeplow.com dated The sources of the original data are provided in that post. The table I produced is here:
insight <- read.csv("C:/Users/Stephen/Dropbox/Consulting/smartphone/insight.csv",
row.names = 1)
insight
Younger Middle Older
StrAgree 25 17 4
SwAgree 69 56 20
SwDiagree 65 77 33
StrDisagree 48 54 61
Load the FactoMineR package and carry out correspondence analysis
library(FactoMineR)
res.ca <- CA(insight)
I created a dataset using QGIS of the areas of the 22 neighborhood areas in Vancouver. Then I exported that dataset to R. Get a scatterplot of youthdensity against percent aged 18-34
van_att <- read.csv("C:/Users/Stephen/Dropbox/Consulting/smartphone/van_att.csv")
library(ggplot2)
qplot(youthden, SharePC, data = van_att)