Number of Criteria per Question for Sidi Bibi
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Dimensions for Sidi Bibi
Error in setwd("export_stats_files/") : cannot change working directory
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dStart <- 946684800 # Wikispiral basic request # Generic request # Loading libraries library(RColorBrewer) library(ggplot2) library(plyr) # Loading file load(file="../../../export_stats_files/stats_4_R.Rda") #Lang management lang <- "fr" if(lang=="fr") tra <- langFR if(lang=="ru") tra <- langRU # Parameters consistency checking # This is to avoid cryptic R error messages later if( class(s4r$nbexpress)!="numeric" & class(s4r$nbexpress)!="integer" ) stop('You must select an y variable of numeric type, like nbexpress') ## General correction of the file # Removing unneeded levels and correcting values s4r$nbexpress <- as.numeric(as.integer(s4r$nbexpress)) # Reduce the dataset with filters s4r <- s4r[ s4r$CG=="Sidi Bibi" | s4r$CG=="Charleroi" , ] # Locally filtering and reshaping the data and setting the variables # (for better comprehension and titling - but check for the speed) # Remove empty variablex s4r <- s4r[!is.na(s4r$DIM),] # Remove empty fill variable s4r <- s4r[!is.na(s4r$question),] # Remove empty faceting first variable s4r <- s4r[!is.na(s4r$CG),] # Remove non attributed criteria from dataset s4r <- s4r[s4r$DIM!="N",] #Aggregating data for criteria statistics s4r <- droplevels(s4r) s4r <- ddply(s4r, .(question, CG, DIM), summarize, sumvalue=sum(nbexpress, na.rm=TRUE)) # Basic definition of the plot plot <- ggplot(s4r, aes(fill=question, x=DIM, y=sumvalue)) # Complete plotting plot <- plot + geom_bar(stat="identity" , show_guide = FALSE ) + scale_fill_manual(values = questcolors) + guides(fill=guide_legend(reverse=FALSE)) # Relabelling plot <- plot + theme(axis.text=element_text(size=), axis.title=element_text(size=,face="plain"), axis.text.x=element_text(angle=,hjust=1)) # Facetting and printing plot plot <- plot + facet_wrap(~ CG, ncol=2 ) # Actually plot plot
DEBUG ECHO
dEnd <- 1735239980 dStart <- 946684800 # Wikispiral basic request # Generic request # Loading libraries library(RColorBrewer) library(ggplot2) library(plyr) # Loading file load(file="../../../export_stats_files/stats_4_R.Rda") #Lang management lang <- "fr" if(lang=="fr") tra <- langFR if(lang=="ru") tra <- langRU # Parameters consistency checking # This is to avoid cryptic R error messages later if( class(s4r$nbexpress)!="numeric" & class(s4r$nbexpress)!="integer" ) stop('You must select an y variable of numeric type, like nbexpress') ## General correction of the file # Removing unneeded levels and correcting values s4r$nbexpress <- as.numeric(as.integer(s4r$nbexpress)) # Reduce the dataset with filters s4r <- s4r[ s4r$CG=="Sidi Bibi" | s4r$CG=="Charleroi" , ] # Locally filtering and reshaping the data and setting the variables # (for better comprehension and titling - but check for the speed) # Remove empty variablex s4r <- s4r[!is.na(s4r$DIM),] # Remove empty fill variable s4r <- s4r[!is.na(s4r$question),] # Remove empty faceting first variable s4r <- s4r[!is.na(s4r$CG),] # Remove non attributed criteria from dataset s4r <- s4r[s4r$DIM!="N",] #Aggregating data for criteria statistics s4r <- droplevels(s4r) s4r <- ddply(s4r, .(question, CG, DIM), summarize, sumvalue=sum(nbexpress, na.rm=TRUE)) # Basic definition of the plot plot <- ggplot(s4r, aes(fill=question, x=DIM, y=sumvalue)) # Complete plotting plot <- plot + geom_bar(stat="identity" , show_guide = FALSE ) + scale_fill_manual(values = questcolors) + guides(fill=guide_legend(reverse=FALSE)) # Relabelling plot <- plot + theme(axis.text=element_text(size=), axis.title=element_text(size=,face="plain"), axis.text.x=element_text(angle=,hjust=1)) # Facetting and printing plot plot <- plot + facet_wrap(~ CG, ncol=2 ) # Actually plot plot