Chart options
R Code
library(coin) z <- as.data.frame(read.table(file='http://www.wessa.net/download/PLoS_ONE/t1.csv',sep=',',header=T)) (t1 <- t.test(z[z$Year==0,'WSTOT'],z[z$Year==1,'WSTOT'])) (w1 <- wilcox_test(z$WSTOT ~ as.factor(z$Year))) bitmap(file='wstot.png') boxplot(cbind(z[z$Year==0,'WSTOT'], z[z$Year==1,'WSTOT']), notch=T, main='Difference between Workshop Scores?') dev.off() z <- as.data.frame(read.table(file='http://www.wessa.net/download/PLoS_ONE/t2.csv',sep=',',header=T)) (t2 <- t.test(z[z$Year==0,'Relevance'],z[z$Year==1,'Relevance'])) (w2 <- wilcox_test(z$Relevance ~ as.factor(z$Year))) bitmap(file='relevance.png') boxplot(cbind(z[z$Year==0,'Relevance'], z[z$Year==1,'Relevance']), notch=T, main='Difference between Perceived Relevance (COLLES construct)?') dev.off() (t3 <- t.test(z[z$Year==0,'CriticalThinking'],z[z$Year==1,'CriticalThinking'])) (w3 <- wilcox_test(z$CriticalThinking ~ as.factor(z$Year))) bitmap(file='criticalthinking.png') boxplot(cbind(z[z$Year==0,'CriticalThinking'], z[z$Year==1,'CriticalThinking']), notch=T, main='Difference between Critical Thinking (COLLES construct)?') dev.off() (t4 <- t.test(z[z$Year==0,'CognitiveDemand'],z[z$Year==1,'CognitiveDemand'])) (w4 <- wilcox_test(z$CognitiveDemand ~ as.factor(z$Year))) bitmap(file='cognitivedemand.png') boxplot(cbind(z[z$Year==0,'CognitiveDemand'], z[z$Year==1,'CognitiveDemand']), notch=T, main='Difference between Cognitive Demand (COLLES construct)?') dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Statistical Hypothesis Tests',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('t1'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('w1'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('t2'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('w2'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('t3'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('w3'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('t4'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('w4'),'</pre>',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
2 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation