CODEWITHSUNDEEP
r
Achak
Achak

Reputation: 1296

Reshaping dataset

I am just wondering if you could guide me to the right direction about how can I reshape a dataset based on a specific criteria to arrange by hours, for example, I have the follwing example dataset: Dataframe

I am trying to reshape the dataset to look like this:

enter image description here

how can I proceed with this reshaping please? Many Thanks.

My sample data:

data = structure(list(date = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L), .Label = "Jan-97", class = "factor"), day = c(1L, 
1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L), hour = c(1L, 2L, 
3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L), Value = c(65L, 29L, 
31L, 42L, 42L, 52L, 61L, 57L, 55L, 52L, 57L, 46L)), .Names = c("date", 
"day", "hour", "Value"), class = "data.frame", row.names = c(NA, 
-12L))

Upvotes: 1

Views: 768

Answers (4)

Pierre L
Pierre L

Reputation: 28461

An update using dplyr and tidyr packages:

library(tidyr)
library(dplyr)
data %>% mutate(hour=paste0('hour', hour)) %>% spread(hour, Value)
#    date day hour1 hour2 hour3 hour4
#1 Jan-97   1    65    29    31    42
#2 Jan-97   2    42    52    61    57
#3 Jan-97   3    55    52    57    46

Upvotes: 1

Tyler Rinker
Tyler Rinker

Reputation: 110034

This is a way to do it in base:

reshape(data, timevar = c("hour"), v.names = c("Value"),  
    idvar = c("date", "day"), direction = "wide")

EDIT: Like Brian used if want to retain the names use:

names(DF)[-c(1:2)] <- paste0("hour", 1:4)
rownames(DF)<- 1:nrow(DF)
DF

Yielding:

    date day hour1 hour2 hour3 hour4
1 Jan-97   1    65    29    31    42
2 Jan-97   2    42    52    61    57
3 Jan-97   3    55    52    57    46

Upvotes: 3

smu
smu

Reputation: 9057

This can be solved using reshape 

reshape(data, idvar=c('date','day'), direction='wide', timevar='hour')

Upvotes: 3

Brian Diggs
Brian Diggs

Reputation: 58845

This uses the reshape2 package. I am sure it can be done with the reshape function, but I am not as facile with that.

library("reshape2")
dcast(data, date+day~hour, value.var="Value")

which gives

> dcast(data, date+day~hour, value.var="Value")
    date day  1  2  3  4
1 Jan-97   1 65 29 31 42
2 Jan-97   2 42 52 61 57
3 Jan-97   3 55 52 57 46

If you don't like the names from that, you can change them afterwards.

widedata <- dcast(data, date+day~hour, value.var="Value")
names(widedata)[-(1:2)] <- paste0("hour",names(widedata[-(1:2)]))

so widedata is:

> widedata
    date day hour1 hour2 hour3 hour4
1 Jan-97   1    65    29    31    42
2 Jan-97   2    42    52    61    57
3 Jan-97   3    55    52    57    46

Upvotes: 5

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