DoeyFoey - 11 months ago 51

R Question

Following code can be used to create a data.frame with Kendall-Tau and Spearman correlation results next to each other:

`data(mtcars)`

mtcars

correlation <- function(x,y){

df1 = cor(data.frame(x,y), use="complete.obs", method="kendall")

df2 = cor(data.frame(x,y), use="complete.obs", method="spearman")

return(data.frame(df1,df2))

}

correlation(mtcars[1],mtcars[2])

Question: Instead of chaining the commands, could something like a loop for the two method be implemented?

`methods <- ("kendall", "spearman")`

correlation <- function(x,y){

df = cor(data.frame(x,y), use="complete.obs", method=methods)

return(data.frame(df))

}

correlation(mtcars[1],mtcars[2])

#This should output the two results, just as above.

I tried a list but wasn't successful with that.

Answer Source

You could use a `for`

statement.
Just do the following:

```
methods <- c("kendall", "spearman")
correlation <- function(x,y, methods){
result <- list()
for (type in methods){
df = cor(data.frame(x,y), use="complete.obs", method=type)
result[type] <- list(df)
}
return(data.frame(result) )
}
correlation(mtcars[1],mtcars[2],methods)
```