Reputation:
How to use R to calculate row mean ?
Sample data:
f<- data.frame(
name=c("apple","orange","banana"),
day1sales=c(2,5,4),
day1sales=c(2,8,6),
day1sales=c(2,15,24),
day1sales=c(22,51,13),
day1sales=c(5,8,7)
)
Expected Results :
Subsequently the table will add more column for example the expected results is only until AverageSales day1sales.4
. After running more data, it will add on to day1sales.6
and so on. So how can I count the average for all the rows?
Upvotes: 1
Views: 6229
Reputation: 6355
rowMeans
is the simplest way. Also the function apply
will apply
a function along the rows or columns of a data frame. In this case you want to apply the mean function to the rows:
f$AverageSales <- apply(f[, 2:length(f)], 1, mean)
(changed 6 to length(f)
since you say you may add more columns).
will add an AverageSales
column to the dataframe f
with the value that you want
> f
## name day1sales day1sales.1 day1sales.2 day1sales.3 day1sales.4 means
##1 apple 2 2 2 22 5 6.6
##2 orange 5 8 15 51 8 17.4
##3 banana 4 6 24 13 7 10.8
Upvotes: 2
Reputation: 99331
with rowMeans
> rowMeans(f[-1])
## [1] 6.6 17.4 10.8
You can also add another column to of means to the data set
> f$AvgSales <- rowMeans(f[-1])
> f
## name day1sales day1sales.1 day1sales.2 day1sales.3 day1sales.4 AvgSales
## 1 apple 2 2 2 22 5 6.6
## 2 orange 5 8 15 51 8 17.4
## 3 banana 4 6 24 13 7 10.8
Upvotes: 3