Calculate Percentage for each time series observations per Group in R

Question

New to R, so just my getting head around the data wrangling aspect. Tried looking for a similar question but couldn\'t find it.

I would like to add an additional c

Answer 1

If df is your data.frame, you can do:

library(data.table)
setDT(df)[,percentage:=signif(100*views/sum(views),4),by=date][]
#   views       date article percentage
#1:  1578 2015-01-01       A      56.99
#2:   616 2015-01-01       B      22.25
#3:   575 2015-01-01       C      20.77
#4:  1744 2015-01-02       A      59.22
#5:   541 2015-01-02       B      18.37
#6:   660 2015-01-02       C      22.41
#7:  2906 2015-01-03       A      69.55
#8:   629 2015-01-03       B      15.06
#9:   643 2015-01-03       C      15.39

Or base R:

df$percentage = signif(100*with(df, ave(views, date, FUN=function(x) x/sum(x))),4)

Data:

df = structure(list(views = c(1578L, 616L, 575L, 1744L, 541L, 660L, 
2906L, 629L, 643L), date = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 
3L, 3L, 3L), .Label = c("2015-01-01", "2015-01-02", "2015-01-03"
), class = "factor"), article = structure(c(1L, 2L, 3L, 1L, 2L, 
3L, 1L, 2L, 3L), .Label = c("A", "B", "C"), class = "factor"), 
percentage = c(56.99, 22.25, 20.77, 59.22, 18.37, 22.41, 
69.55, 15.06, 15.39)), .Names = c("views", "date", "article", 
"percentage"), class = "data.frame", row.names = c(NA, -9L))

Answer 2

library(dplyr)
df %>% group_by(date) %>% mutate( percentage = views/sum(views))
Source: local data frame [9 x 4]
Groups: date

  views       date article percentage
1  1578 2015-01-01       A  0.5698808
2   616 2015-01-01       B  0.2224630
3   575 2015-01-01       C  0.2076562
4  1744 2015-01-02       A  0.5921902
5   541 2015-01-02       B  0.1837012
6   660 2015-01-02       C  0.2241087
7  2906 2015-01-03       A  0.6955481
8   629 2015-01-03       B  0.1505505
9   643 2015-01-03       C  0.1539014

Or, if multiple identical articles are possible per day:

df %>% group_by(date) %>% mutate(sum = sum(views)) %>% 
group_by(date, article) %>% mutate(percentage = views/sum) %>% 
select(-sum)