Hi Ani,
It seems to work for me:
a<-c(20, 20, 14.2375646029948, 19.9, 20, 20, 16.3092078677214,
20, 20, 20, 20, 20, 20, 20, 20, 14.8590932408795, 16.178935255298,
20, 20, 20, 20, 27.6404077886079, 20, 20, 20, 20, 20, 21.9857063037444,
20, 20, 20, 20)
> a==20
[1] TRUE TRUE FALSE FALS
On 30.11.2011 12:26, Bert Gunter wrote:
er... Uwe, shouldn't that be, e.g.
dataframe$Cheque<- as.integer(dataframe$Cheque)
Sure, thanks.
## or building on Rolf's suggestion
dataframe<- within(dataframe, Cheque<- as.integer(Cheque))
While I am at it, is there any practical difference in
er... Uwe, shouldn't that be, e.g.
dataframe$Cheque <- as.integer(dataframe$Cheque)
## or building on Rolf's suggestion
dataframe <- within(dataframe, Cheque <- as.integer(Cheque))
While I am at it, is there any practical difference in efficiency
between these two approaches?
-- Bert
2011/11
On 30.11.2011 09:16, arunkumar wrote:
hi
I have data like this in a dataframe
Var Value Cheque
X140FALSE
X220FALSE
X328TRUE
I want to replace it FLASE with 0 and TRUE with 1.
is there any method by which i can do without using LOOP
dataframe$Cheque <- as.int
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