Windows XP 32 bit machine.
allocated 2gb as memory for R 2.9.2
data will be 20mb and was running calculations on the data .
but the r crashes with out any warning or so.
--
View this message in context:
http://old.nabble.com/R-crashes-tp26110355p26124740.html
Sent from the R help mailing list a
My R crashes frequently when run with huge data.
--
View this message in context:
http://www.nabble.com/R-crashes-tp26110355p26110355.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing list
https://stat.ethz
When i tried running Zip<-sqldf("select a.*,b.s_lv from Zip a inner join lin
b on a.S=B.S")
Error: cannot allocate vector of size 15.6 Mb
and with following warning
Warning messages:
1: In as.list.data.frame(X) :
Reached total allocation of 1024Mb: see help(memory.size)
2: In as.list.data.frame
I have one column
x
97
94
91
90
NA
NA
NA
NA
I tried
book$r<-ifelse(book$x!=NA,book$x+20,10)
I expect to get the result as follows
107
104
91
90
10
10
10
10
But what i was getting is empty column of variable r.How to solve this
--
View this message in context:
http://www.nabble.com/Handlin
Thanks.It works
--
View this message in context:
http://www.nabble.com/Nested-select-tp25608506p25622242.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PL
my data :
library(doBy)
lines<-"lo ptcl5 ptcl99 variable
430. 8787a
430 3422343 m
430. 89mr
4314564774a
431 299 2777m
4319996 mr
432
Ya it works thanks for the help
--
View this message in context:
http://www.nabble.com/use-of-class-variable-in-r-as-in-Proc-means-of-sas-tp25530654p25531102.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing
I tried thanks for your help and got the same result for percentile 5 & 95 as
in SAS.But if i need to calculate quantiles (1,5,10,99,etc.) it will not be
possible with fivenum as explained in the help page .If i need those
quantiles what is the change i need to make in the function
qfu<-function(
Thanks for the help.I got the required quantiles by altering ur code
as follows
qfu<-function(x,digits=3,sci=F,...)
{c(q=quantile(x,probs=c(5,90)/100))
}
and my result of the R system is different from my sas system output for the
same function .could anyone help me in this and what is the rea
Hi,everyone i need to calculate quartile values of a variable grouped by the
other variable .
same as in aggregate function(only median,mean or functions is possible-i
think so)
Could you please help me to achieve the same for other quartile
values(5,10,25,75,90) as for median using aggregate.
Th
Thanks to everyone for helping me overcome the problem faced .I have got
over with the problem .once again thanks for the immediate response of all
the members
--
View this message in context:
http://www.nabble.com/Datetime-conversion-tp25503138p25530176.html
Sent from the R help mailing list a
I have to remove missing data both in character and numeric datatype.I tried
using NA condition but it is not working ,please help me to solve this.
--
View this message in context:
http://www.nabble.com/Handling-missing-data-tp25530192p25530192.html
Sent from the R help mailing list archive at
I have 70 columns and more than 400k rows .In the data date column will have
values from 1900(01/01/1900) .How do i select only the data of recent two
years?Help me in this regard
--
View this message in context:
http://www.nabble.com/Selecting-data-based-on-date-Data-manupulation-tp25530189p255
Thanks for the reply and it is useful.What i want to know here is i'm going
to try and write an automated procedure using batch processing in R by the
way input of the next step is going to be this steps output .so one will not
able to predict the lines please also do answer in taking consideratio
Sorry for confusing you all with my inexperienced posting .
I tried as u said if you have 9 rows in the data it is working fine but
please try out the same example as you have suggested earlier with morethan
9 rows.
I tried it as following
datetime <-c(
+ "01OCT1987:00:00:00.000",
+ "12APR2004:0
Thanks .I tried its working but when i tried to view the dataframe i got the
following error
Error in edit.data.frame(get(subx, envir = parent), title = subx, ...) :
can only handle vector and factor elements
--
View this message in context:
http://www.nabble.com/Datetime-conversion-tp25503
The same what you have worked out is my need but i'm getting the following
error
Error in `$<-.data.frame`(`*tmp*`, "date", value = list(sec = c(0, 0, :
replacement has 9 rows, data has 14
Please help me in this
--
View this message in context:
http://www.nabble.com/Datetime-conversion-tp2
It works but what i need is the result also as a column .
I tried using the following code .
dt$new<-strptime(as.character(dt$datetime),"%d%b%Y.
It shows the following error
Error in `$<-.data.frame`(`*tmp*`, "Sa_dt", value = list(sec = c(0, 0, :
replacement has 9 rows, data has 14.
Please h
I tried running 50 lines of ifelse statement in R and the system says context
stack overflow at 50 line.Is it the limitation of R or is there any way
around that can be done to overcome this.Thanks
--
View this message in context:
http://www.nabble.com/Maximum-No.of-code-in-R-tp25506024p25506024
>
>> date<-strptime(datetime,"%d%b%Y")
>> date
> [1] "1987-10-01" "2004-04-12" "1987-12-01" "1975-10-01" "1979-08-01"
> "2003-06-26"
> [7] "1900-01-01" "1998-05-13" "1998
Is there any other way to solve this, please do reply .
David Winsemius wrote:
>
>
> On Sep 18, 2009, at 1:03 AM, premmad wrote:
>
>>
>> I'm relatively new to R .I tried converting the datetime column with
>> values
>> like 01apr1985:00:00:00.000 us
I'm relatively new to R .I tried converting the datetime column with values
like 01apr1985:00:00:00.000 using strptime(datetime,"%d%b%Y).Could anyone
help me in this regard .Please reply ASAP i need .
--
View this message in context:
http://www.nabble.com/Datetime-conversion-tp25503138p25503138
22 matches
Mail list logo