CODEWITHSUNDEEP
rdataframetype-conversion
makansij
makansij

Reputation: 9875

Converting dataframe to dataframe in R? Unexpected results

I need to do many conversions at once ina certain file I'm running. I do not understand why converting something twice results in a different output.

given 

x = c(140,190,190,185,195,195,195,130,150,125,50,30,15,45,55)
y = c(150,195,190,190,190,200,195,140,30,20,125,25,45,65,70)

This,

locs <- data.frame(x=x,y=y)

...works as expected, with two columns named x and y. However, if I do the following

locs <- as.data.frame(x=x,y=y)

it gives just one column named x, but with the values of y. Why is this? It is important for the larger files I'm running - I may have to change my whole approach.

Upvotes: 0

Views: 69

Answers (1)

A5C1D2H2I1M1N2O1R2T1
A5C1D2H2I1M1N2O1R2T1

Reputation: 193677

data.frame starts of with ..., which is often populated with "tag/value" pairs to be combined as columns. Thus, data.frame(x = x, y = y) would work as you expected.

as.data.frame expects a single object that can be coerced into a data.frame using one of the as.data.frame.* methods. It also has a ... argument, but this is used to pass arguments to the different as.data.frame methods.

In other words, if you had a matrix (m <- cbind(x, y)), you could use as.data.frame(m) and get the results you expected, though if you are starting with vectors, you might as well just do data.frame(x, y).

Upvotes: 1

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