niharika Singhal - 9 months ago 40

R Question

How,can I get the mean of each column, each column contain multiple value, and there are 1000 of column. I dont want to use loop for efficiency reason.

I have tried colmeans, rowmeans.

data format= each col with all rows is a dataframe and all these dataframes are saved in a list

`For example data look like`

list_of_df=

col1 col2 .........coln

v1 c(10,11,12....) c(12,11,9....) c(12,11,9....)

v2 c(1,1,1,1,1,1...) c(1,1,1,1,1,1...) c(1,1,1,1,1,1...)

v3 c(0 ,0,1,2,3,..) c(0 ,0,2,2,2,3,..) c(0 ,0,2,2,2,3,..)

v4 c(date1,dat2,....) c(date1,dat2,....) c(date1,dat2,....)

I want to calculate the mean for V1 row for every column.

Thanks

Answer

I got the solution, the solution for my problem is

```
meanValue=sapply(list_of_df[1,1:ncol(list_of_df)], function(x) mean(x))
```