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R_code_snippets
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# Read csv file | |
dfName = read.csv("file.csv") | |
# READ CSV FILE WITH DATATYPE DEFINED FOR A CERTAIN COLUMN s | |
dfName <- read.csv("file.csv",colClasses=c("date"="Date")) | |
# WRITE CSV FILE | |
write.csv(dfName, file="file.csv") | |
# CREATE FRAME | |
dfName <- data.frame(ids, dimensions) | |
# CREATE FRAME WITH DATE | |
dfName <- data.frame(ids,as.Date(dates)) | |
# VIEW DATA | |
head(dfName) | |
view(dfName) | |
# ADD COLUMN TO FRAME | |
dfNameNew <- within(dfName, {newField = "dummy"}) | |
# ADD COLUMN TO FRAME with IF statement | |
dfNameNew <- within(dfName, {newField = ifelse(actual <= target,1,0)}) | |
# RENAME A COLUMN | |
rename(dfName,c("old"="new")) | |
# REMOVE FRAME | |
remove(dfName) | |
# GET CLASS OF VARIABLE | |
class(varName) | |
# GET CLASS OF ALL COLUMNS IN DATA FRAME | |
sapply(dfName, class) | |
# FORMAT A DATE AS YEAR-WEEK | |
week = format(dfName$date,format="%Y-%U") | |
# GROUP BY AND SUMMARIZE VALUE | |
ddply(dfName,.(dimension), summarize, count=sum(intVar)) | |
# GROUP BY AND SUMMARIZE MULTIPLE VALUES | |
ddply(ops6,.(dimension,week),summarize,count=sum(met),missed=sum(actual>target)) | |
# SORT COLUMN | |
dfName <- dfName[order(dfName$columnName),] |
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