Tom wrote:
On Tue, 10 Jan 2006 20:25:23 -0500, r user [EMAIL PROTECTED] wrote:
I have 2 dataframes, each with 5 columns and 20 rows.
They are called data1 and data2.I wish to create a
third dataframe called data3, also with 5 columns and
20 rows.
I want data3 to contains the values in data1
The equality operator is == not =. So you need is.na(data1) == FALSE (F
is a variable, and FALSE is the non-truth value), or, clearer,
ifelse(!is.na(data1), data1, data2)
Another way is
data3 - data1
data3[is.na(data1)] - data2[is.na(data1)]
which is more efficient but less clear.
On Tue,
Uwe,
FYI:
I tried: data3 - ifelse(is.na(data1), data2, data1)
It seems to me that data3 is an array of length 100.
I do NOT end up with a dataset of 5 columns and 20 rows.
Uwe Ligges [EMAIL PROTECTED] wrote:
Tom wrote:
On Tue, 10 Jan 2006 20:25:23 -0500, r user wrote:
I
t c wrote:
Uwe,
FYI:
I tried: data3 - ifelse(is.na(data1), data2, data1)
It seems to me that data3 is an array of length 100.
I do NOT end up with a dataset of 5 columns and 20 rows.
I have not read carefully enough, for a data.frame you can generalize
the approach as
The following seems close to the form you were trying. It works
for matrices, not dataframes. You can use as.matrix and
as.data.frame to convert back and forth:
# test data
data1 - data2 - matrix(1:6,3)
data1[2,2] - NA
data1[] - ifelse(is.na(data1), data2, data1)
On 1/11/06, t c [EMAIL
I don't know how to keep factors' levels with :
data.frame(mapply(function(x,y,z) ifelse(is.na(y), z, y),
names(D), D, D2, SIMPLIFY=FALSE))
but in that way it's ok :
data.frame(mapply(function(z,x,y) { y[is.na(y)] - x[is.na(y)] ; y },
names(D), D, D2, SIMPLIFY=F))
(?)
Uwe
I have 2 dataframes, each with 5 columns and 20 rows.
They are called data1 and data2.I wish to create a
third dataframe called data3, also with 5 columns and
20 rows.
I want data3 to contains the values in data1 when the
value in data1 is not NA. Otherwise it should contain
the values in data2.
On Tue, 10 Jan 2006 20:25:23 -0500, r user [EMAIL PROTECTED] wrote:
I have 2 dataframes, each with 5 columns and 20 rows.
They are called data1 and data2.I wish to create a
third dataframe called data3, also with 5 columns and
20 rows.
I want data3 to contains the values in data1 when the
