mardi 12 mai 2020

Analysing disctrete correlation

survey <- cleme="" esktop="" read.csv="" sers="" stringsasfactors="FALSE)<br" survey-covid.csv="">surveyFinalized<-survey br="" esponse="" finalized="" survey="" tatus="=">
names(surveyFinalized)[names(surveyFinalized) == "What.is.your.home.situation..you.are.in.living...."] <- br="" latorhouse="">names(surveyFinalized)[names(surveyFinalized) == "What.is.your.family.situation."] <- br="" situation="">names(surveyFinalized)[names(surveyFinalized) == "How.worried.are.you.about.the.impact.of.coronavirus.on.you.personally."] <- anxiety="" br="">
View(surveyFinalized)
surveyFinalized$situation[grepl( "without child", surveyFinalized$situation,fixed = TRUE)]<- br="" lone="">surveyFinalized$situation[grepl( "with child", surveyFinalized$situation,fixed = TRUE)]<- amily="" br="">
surveyFinalized$FlatOrHouse[grepl( "ppart", surveyFinalized$FlatOrHouse,fixed = TRUE)]<- br="" ppartment="">surveyFinalized$FlatOrHouse[grepl( "Apart", surveyFinalized$FlatOrHouse,fixed = TRUE)]<- br="" ppartment="">surveyFinalized$FlatOrHouse[grepl( "flat", surveyFinalized$FlatOrHouse,fixed = TRUE)]<- br="" ppartment="">surveyFinalized$FlatOrHouse[grepl( "city", surveyFinalized$FlatOrHouse,fixed = TRUE)]<- br="" ppartment="">surveyFinalized$FlatOrHouse[grepl( "country", surveyFinalized$FlatOrHouse,fixed = TRUE)]<- br="" ouse="">surveyFinalized$FlatOrHouse[grepl( "house", surveyFinalized$FlatOrHouse,fixed = TRUE)]<- br="" ouse="">

library("ggplot2")

surveyFinalized$anxiety<-factor all="" anxiety="" at="" br="" ery="" levels="c(" omewhat="" ot="" so="" surveyfinalized="" worried="" xtremely="">relevel(surveyFinalized$anxiety,"Very worried")

(d <- aes="" anxiety="" br="" depending="" eneral="" ggplot="" ggtitle="" on="" situation="" surveyfinalized="">    geom_jitter())

(d <- aes="" anxiety="" br="" depending="" eneral="" ggplot="" ggtitle="" latorhouse="" on="" setup="" surveyfinalized="">    geom_jitter())