reshape2

This question already has an answer here: Reshaping data.frame from wide to long format 6 answers How can I 'unpivot' a table? What is the proper technical term for this? UPDATE: The term is called melt I have a data frame for countries and data for each year Country 2001 2002 2003 Nigeria 1 2 3 UK 2 NA 1 And I want to have something like Country Year Value Nigeria 2001 1 Nigeria 2002 2 Nigeria 2003 3 UK 2001 2 UK 2002 NA UK 2003 1 I still can't believe I beat Andrie with an answer. :) > library(reshape) > my.df <- read.table(text = "Country 2001 2002 2003 + Nigeria 1 2 3 + UK 2 NA 1", header

I have a table which has unequal number of element in string format File1 A B C File2 A B D File3 E F I want to convert into a format as follows A B C D E F File1 1 1 1 0 0 0 FIle2 1 1 0 1 0 0 File3 0 0 0 0 1 1 I tried to do it using reshape2 but was not successful. Sample data: mydata <- structure(list(V1 = c("File1", "File2", "File3"), V2 = c("A", "A", "E"), V3 = c("B", "B", "F"), V4 = c("C", "D", "")), .Names = c("V1", "V2", "V3", "V4"), class = "data.frame", row.names = c(NA, -3L)) One possibility: library(reshape2) df2 <- melt(df, id.var = "V1") with(df2, table(V1, value)) # value # V1 A

Possible Duplicate: This R reshaping should be simple, but dcast from reshape2 works without a formula where there are no duplicates. Take these example data: df <- structure(list(id = c("A", "B", "C", "A", "B", "C"), cat = c("SS", "SS", "SS", "SV", "SV", "SV"), val = c(220L, 222L, 223L, 224L, 225L, 2206L)), .Names = c("id", "cat", "val"), class = "data.frame", row.names = c(NA, -6L)) I'd like to dcast these data and just have the values tabulated, without applying any function to the value.var including the default length . In this case, it works fine. > dcast(df, id~cat, value.var="val") id

I have a survey file in which row are observation and column question. Here are some fake data they look like: People,Food,Music,People P1,Very Bad,Bad,Good P2,Good,Good,Very Bad P3,Good,Bad,Good P4,Good,Very Bad,Very Good P5,Bad,Good,Very Good P6,Bad,Good,Very Good My aim is to create this kind of plot with ggplot2 . I absolutely don't care of the colors, design, etc. The plot doesn't correspond to the fake data Here are my fake data: raw <- read.csv("http://pastebin.com/raw.php?i=L8cEKcxS",sep=",") raw[,2]<-factor(raw[,2],levels=c("Very Bad","Bad","Good","Very Good"),ordered=FALSE) raw[,3]<