I have the following data frame in R:
Name Year Apples Bananas
Tom 2012 3 4
John 2012 0 1
John 2013 3 2
John 2014 5 3
Alexa 2012 2 2
Alexa 2013 2 1
I would like to transform or reshape the dataframe, to have the frequency of apples and bananas per person represented in the dataframe. Like this: It would ideal to use dplyr or reshape packages
Name Year. Fruit
Tom 2012 Apples
Tom 2012 Apples
Tom 2012 Apples
Tom 2012 Bananas
Tom 2012 Bananas
Tom 2012 Bananas
John 2012 Bananas
John 2013 Apples
John 2013 Apples
John 2013 Apples
John 2013 Bananas
John 2013 Bananas
John 2014 Apples
John 2014 Apples
John 2014 Apples
John 2014 Apples
John 2014 Apples
John 2014 Bananas
John 2014 Bananas
John 2014 Bananas
etc
library( data.table )
#sample data
# mydata <- fread( "Name Year Apples Bananas
# Tom 2012 3 4
# John 2012 0 1
# John 2013 3 2
# John 2014 5 3
# Alexa 2012 2 2
# Alexa 2013 2 1 ")
ans <- melt( setDT( mydata ), id.vars = c("Name","Year"), variable.name = "Fruit" )
ans[ rep(seq(.N), value), !"value"]
output
# Name Year Fruit
# 1: Tom 2012 Apples
# 2: Tom 2012 Apples
# 3: Tom 2012 Apples
# 4: John 2013 Apples
# 5: John 2013 Apples
# 6: John 2013 Apples
# 7: John 2014 Apples
# 8: John 2014 Apples
# 9: John 2014 Apples
# 10: John 2014 Apples
# 11: John 2014 Apples
# 12: Alexa 2012 Apples
# 13: Alexa 2012 Apples
# 14: Alexa 2013 Apples
# 15: Alexa 2013 Apples
# 16: Tom 2012 Bananas
# 17: Tom 2012 Bananas
# 18: Tom 2012 Bananas
# 19: Tom 2012 Bananas
# 20: John 2012 Bananas
# 21: John 2013 Bananas
# 22: John 2013 Bananas
# 23: John 2014 Bananas
# 24: John 2014 Bananas
# 25: John 2014 Bananas
# 26: Alexa 2012 Bananas
# 27: Alexa 2012 Bananas
# 28: Alexa 2013 Bananas
# Name Year Fruit