Created
May 23, 2016 10:11
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x = 2+2 | |
y = c(1,1,1,1,1,1,1,2,3,4) | |
resp = data.frame(id=1:5, name=c("piet", "jan", "klaas", "marie", "klaas"), iq=90:94) | |
topd = read.csv("data/income_topdecile.csv") | |
summary(topd) | |
mean(topd$France, na.rm = T) | |
topd | |
topd = topd[!is.na(topd$France), ] | |
topd = na.omit(topd) | |
topd | |
postwar = topd[topd$Year > 1945, c("Year", "France")] | |
goodyears = topd$Year > 1945 | |
postwar = topd[goodyears, c("Year", "France")] | |
topd$Germany[topd$Year == 1980] = NA | |
pwm = mean(topd$Germany[topd$Year > 1945], na.rm = T) | |
topd$Germany[is.na(topd$Germany)] = pwm | |
postwar = topd[topd$Year > 1945,]( | |
with(topd[topd$Year > 1945,], t.test(France, U.S., paired=T)) | |
with(topd, t.test(France, U.S., paired=T)) | |
t.test(postwar$France, postwar$U.S., paired = T) | |
topd | |
sdswe = sd(topd$Sweden) | |
# first row is measurement error | |
resp = resp[-1, ] | |
# remove outliers based on Z>1 | |
threshold = mean(topd$Sweden) + sd(topd$Sweden) | |
topd$Sweden[topd$Sweden > threshold] = NA | |
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