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Data X:
99.2 96.7 101.0 99.0 98.1 100.1 100.0 100.0 100.0 111.6 104.9 90.6 122.2 104.9 86.5 117.6 109.5 89.7 121.1 110.8 90.6 136.0 112.3 82.8 154.2 109.3 70.1 153.6 105.3 65.4 158.5 101.7 61.3 140.6 95.4 62.5 136.2 96.4 63.6 168.0 97.6 52.6 154.3 102.4 59.7 149.0 101.6 59.5 165.5 103.8 61.3
Names of X columns:
a b c
Sample Range:
(leave blank to include all observations)
From:
To:
Column Number of Target
(?)
Repeated CV
(?)
no
no
yes
Chart options
R Code
par2 <- 'no' par1 <- '1' library(caret) mywarning <- '' par1 <- as.numeric(par1) if(is.na(par1)) { par1 <- 1 mywarning = 'Warning: you did not specify the column number of the target! The first column was selected by default.' } x <- na.omit(data.frame(t(x))) k <- length(x[1,]) n <- length(x[,1]) x <- as.data.frame(x) for(ii in 1:k) { x[,ii] <- as.numeric(x[,ii]) } myf <- formula(paste(colnames(x)[par1],' ~ .',sep='')) myf lm_grid <- expand.grid(intercept = c(TRUE, FALSE)) fitControl <- trainControl(method = 'repeatedcv', number = 10, repeats = 5) if(par2=='no') { lm_via_caret <- train(myf, data = x, method = 'lm', tuneGrid = lm_grid) } if(par2=='yes') { lm_via_caret <- train(myf, data = x, method = 'lm', tuneGrid = lm_grid, trControl = fitControl) } lm_via_caret load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Multiple Regression',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('lm_via_caret$results'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('lm_via_caret$finalModel$tuneValue'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('varImp(lm_via_caret )'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('lm_via_caret$finalModel'),'</pre>',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Big Analytics Cloud Computing Center
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