On Oct 17, 2012, at 1:52 PM, Charles Determan Jr wrote:

Hi A.K.

I tried your code exactly as you presented but I only get the following output, did I somehow miss something? Was there something else loaded?
Thanks,

[1] [96, 99) [96, 99) [96, 99) [96, 99) [96, 99) 99 [96, 99) [96, 99) [9] 99 [96, 99) 99 [96, 99) [96, 99) [96, 99) [96, 99) [96, 99) [17] 99 [96, 99) [96, 99) [96, 99) [96, 99) 99 [96, 99) [96, 99)
[25] 99       99       [96, 99) 99       [96, 99) 99       99       99
[33] 99       [96, 99) 99       [96, 99) 99       [96, 99) [96, 99) 99
[41] [96, 99) [96, 99) 99 99 [96, 99) 99 99 [96, 99) [49] [96, 99) [96, 99) 99 99 [96, 99) [96, 99) [96, 99) [96, 99)
[57] [96, 99) [96, 99) [96, 99) 99       99       [96, 99) 99       99
[65] [96, 99) [96, 99) 99 99 [96, 99) [96, 99) [96, 99) [96, 99)
[73] 99       [96, 99) [96, 99) [96, 99) 99       [96, 99) [96, 99)
Levels: [96, 99) 99
Warning message:
In min(xx[xx > upper]) : no non-missing arguments to min; returning Inf

For the quantiles requested with your data you get:

> quantile(dat[1], prob=(1:4)/4, na.rm=TRUE)
 25%  50%  75% 100%
  98   98   99   99

So you only have 2 groups in your answer. Why are you persisting in trying to do this operation when you only had 4 values to start with?

--
David.

On Wed, Oct 17, 2012 at 3:30 PM, arun <smartpink...@yahoo.com> wrote:

Hi,
Try this:
dat1<-structure(list(var1 = c(97, 97, 98, 98, 97, 99, 97,
98, 99, 98, 99, 98, 98, 97, 97, 98, 99, 98, 96, 98, 98, 99, 98,
98, 99, 99, 98, 99, 98, 99, 99, 99, 99, 98, 99, 96, 99, 98, 98,
99, 97, 98, 99, 99, 97, 99, 99, 98, 98, 98, 99, NA, 99, 98, 98,
98, 98, 98, 98, 98, 99, 99, 98, 99, 99, 98, 98, 99, 99, 97, 98,
98, 98, 99, 98, 98, 98, 99, 98, 98)), .Names = "var1", row.names = c(NA,
80L), class = "data.frame")
unique(dat1[,1])
#[1] 97 98 99 96 NA
dat2<-dat1[!is.na(dat1)]
cut2(dat2,g=4)
# [1] (96,97] (96,97] (97,98] (97,98] (96,97] (98,99] (96,97] #[8] (97,98] (98,99] (97,98] (98,99] (97,98] (97,98] (96,97] #[15] (96,97] (97,98] (98,99] (97,98] (-Inf,96] (97,98] (97,98] #[22] (98,99] (97,98] (97,98] (98,99] (98,99] (97,98] (98,99] #[29] (97,98] (98,99] (98,99] (98,99] (98,99] (97,98] (98,99] #[36] (-Inf,96] (98,99] (97,98] (97,98] (98,99] (96,97] (97,98] #[43] (98,99] (98,99] (96,97] (98,99] (98,99] (97,98] (97,98] #[50] (97,98] (98,99] (98,99] (97,98] (97,98] (97,98] (97,98] #[57] (97,98] (97,98] (97,98] (98,99] (98,99] (97,98] (98,99] #[64] (98,99] (97,98] (97,98] (98,99] (98,99] (96,97] (97,98] #[71] (97,98] (97,98] (98,99] (97,98] (97,98] (97,98] (98,99]
#[78] (97,98]   (97,98]
#Levels: (-Inf,96] (96,97] (97,98] (98,99]
A.K.




----- Original Message -----
From: Charles Determan Jr <deter...@umn.edu>
To: r-help@r-project.org
Cc:
Sent: Wednesday, October 17, 2012 3:42 PM
Subject: [R] cut2 error

To R users,

I am trying to use cut2 function from the 'Hmisc' library. However, when I try and run the function on the following variable, I get an error message (displayed below). I suspect it is because of the NA but I have no idea
how to address the error.  Many thanks to any insights.

structure(list(var1 = c(97, 97, 98, 98, 97, 99, 97,
98, 99, 98, 99, 98, 98, 97, 97, 98, 99, 98, 96, 98, 98, 99, 98,
98, 99, 99, 98, 99, 98, 99, 99, 99, 99, 98, 99, 96, 99, 98, 98,
99, 97, 98, 99, 99, 97, 99, 99, 98, 98, 98, 99, NA, 99, 98, 98,
98, 98, 98, 98, 98, 99, 99, 98, 99, 99, 98, 98, 99, 99, 97, 98,
98, 98, 99, 98, 98, 98, 99, 98, 98)), .Names = "var1", row.names = c(NA,
80L), class = "data.frame")

cut2(dat[,1], g=4)

Warning message:
In min(xx[xx > upper]) : no non-missing arguments to min; returning Inf

Regards,
Charles

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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

David Winsemius, MD
Alameda, CA, USA

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