Complete newbie to R -- struggling with something which should be pretty
basic. Trying to create a simple data set (which I gather R refers to as a
data.frame). So
> a <- c(1,2,3,4,5);
> b <- c(0.3,0.4,0.5,0,6,0.7);
Stick the two together into a data frame (call test) using cbind
> test <- data.frame(cbind(a,b))
Seems to do the trick:
> test
a b
1 1 0.3
2 2 0.4
3 3 0.5
4 4 0.6
5 5 0.7
>
Confirm that each variable is numeric:
> is.numeric(test$a)
[1] TRUE
> is.numeric(test$b)
[1] TRUE
OK, so far so good. But, now I want to merge in a vector of characters:
> c <- c('y1","y2","y3","y4","y5")
Confirm that this is string:
> is.numeric(c);
[1] FALSE
cbind c into the data frame:
> test <- data.frame(cbind(a,b,c))
Looks like everything is in place:
> test
a b c
1 1 0.3 y1
2 2 0.4 y2
3 3 0.5 y3
4 4 0.6 y4
5 5 0.7 y5
Except that it seems as if the moment I cbind in a character vector, it
changes numeric data to string:
> is.numeric(test$a)
[1] FALSE
> is.numeric(test$b)
[1] FALSE
which would explain why the operations I'm trying to perform on elements of
a and b columns are failing. If I look at the structure of the data.frame,
I see that in fact *all* the variables are being entered as "factors".
> str(test)
'data.frame': 5 obs. of 3 variables:
$ a: Factor w/ 5 levels "1","2","3","4",..: 1 2 3 4 5
$ b: Factor w/ 5 levels "0.3","0.4","0.5",..: 1 2 3 4 5
$ c: Factor w/ 5 levels "y1","y2","y3",..: 1 2 3 4 5
But, if I try
test <- data.frame(cbind(a,b))
> str(test)
'data.frame': 5 obs. of 2 variables:
$ a: num 1 2 3 4 5
$ b: num 0.3 0.4 0.5 0.6 0.7
a and b are coming back as numeric. So, why does cbind'ing a column of
character variables change everything else? And, more to the point, what do
I need to do to 'correct' the problem (i.e., stop this from happening).
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