![wb <- loadWorkbook("C:UsersPCDesktoptemplate.xlsx")
#Import predefined cell styles
header <- getCellStyle(wb, name = "header")
number <- getCellStyle(wb, name="number")
#Write data frame to Sheet1
writeWorksheet(wb, DF, sheet="Sheet1", startRow=1, startCol=1)
#Applied predefined cell styles
setCellStyle(wb, sheet="Sheet1", row=rep(1,ncol(DF)), col=rep(c(1:2), 1),
cellstyle=header)
setCellStyle(wb, sheet="Sheet1", row=2:(nrow(DF)+1), col=rep(c(1:2),
each=nrow(DF)),
cellstyle=number)
#Keep predefined cell style from Sheet2
setStyleAction(wb, XLC$"STYLE_ACTION.PREDEFINED")
#Summarize data by gender using plyr package
library(plyr)
DF1 <- ddply(DF, .(Gender), summarise,
No_Respondents=length(Gender),
Total_Consumption=sum(Consumption))
#Write data frame to Sheet2
writeWorksheet(wb, sheet="Sheet2", DF1[,-1], header=FALSE, startRow=2,
startCol=2)
#Create graph using ggplot2 library and save it as png file
png("graph1.png")
library(ggplot2)
ggplot(DF1, aes(Gender, No_Respondents, fill=Gender)) +
geom_bar(position = "dodge")+ scale_fill_manual(values=c("darkgray",
"lightblue"))
dev.off()
#Add graph (png to) to Excel file
#Named region graph on Sheet2
addImage(wb, filename = "graph1.png", name = "graph",](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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R-Excel Integration
- 1. R – Excel Integration using XLConnect package Example of writing R data frames and graphs to Excel templates Create and save Excel template on Desktop: • Two predefined cell styles called header (Font - Calibry (Body), Font Style - Bold Italic, Size - 11, Fill - Blue) and number (Number, Comma 1000 separator, Decimal Places - 3). • Sheet2 – Table with formatting range Sheet2!B2:C3 as Number, Comma 1000 Separator and Decimal Places - 2 • Named Region graph - Sheet2!$A$5 R code (requires libraries XLConnect, plyr and ggplot2): #Import XLConnect library library(XLConnect) #Define working directory setwd("C:UsersPCDesktop") #Simulate some data frame set.seed(10) DF <- data.frame(Gender=sample(c("female", "male"), 100, rep=TRUE), Consumption=runif(100, 1000, 2000), stringsAsFactors=FALSE) #Load Excel template file named template.xls
- 2. wb <- loadWorkbook("C:UsersPCDesktoptemplate.xlsx") #Import predefined cell styles header <- getCellStyle(wb, name = "header") number <- getCellStyle(wb, name="number") #Write data frame to Sheet1 writeWorksheet(wb, DF, sheet="Sheet1", startRow=1, startCol=1) #Applied predefined cell styles setCellStyle(wb, sheet="Sheet1", row=rep(1,ncol(DF)), col=rep(c(1:2), 1), cellstyle=header) setCellStyle(wb, sheet="Sheet1", row=2:(nrow(DF)+1), col=rep(c(1:2), each=nrow(DF)), cellstyle=number) #Keep predefined cell style from Sheet2 setStyleAction(wb, XLC$"STYLE_ACTION.PREDEFINED") #Summarize data by gender using plyr package library(plyr) DF1 <- ddply(DF, .(Gender), summarise, No_Respondents=length(Gender), Total_Consumption=sum(Consumption)) #Write data frame to Sheet2 writeWorksheet(wb, sheet="Sheet2", DF1[,-1], header=FALSE, startRow=2, startCol=2) #Create graph using ggplot2 library and save it as png file png("graph1.png") library(ggplot2) ggplot(DF1, aes(Gender, No_Respondents, fill=Gender)) + geom_bar(position = "dodge")+ scale_fill_manual(values=c("darkgray", "lightblue")) dev.off() #Add graph (png to) to Excel file #Named region graph on Sheet2 addImage(wb, filename = "graph1.png", name = "graph",
- 3. originalSize = TRUE) #Deleted png file from working directory file.remove("graph1.png") #Save changes saveWorkbook(wb) R info session: > sessionInfo() R version 2.15.0 (2012-03-30) Platform: i386-pc-mingw32/i386 (32-bit) locale: [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 [3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C [5] LC_TIME=English_United States.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] ggplot2_0.9.1 plyr_1.7.1 XLConnect_0.1-9 XLConnectJars_0.1-4 [5] rJava_0.9-3 loaded via a namespace (and not attached): [1] colorspace_1.1-1 dichromat_1.2-4 digest_0.5.2 grid_2.15.0 [5] labeling_0.1 MASS_7.3-17 memoise_0.1 munsell_0.3 [9] proto_0.3-9.2 RColorBrewer_1.0-5 reshape2_1.2.1 scales_0.2.1 [13] stringr_0.6