1 2 B
6 1 3 B
A.K.
- Original Message -
From: Daisy Englert Duursma
To: "r-help@R-project.org"
Cc:
Sent: Wednesday, June 6, 2012 11:58 PM
Subject: [R] conditional statement to replace values in dataframe with NA
Hello and thanks for helping.
#some data
L3 <- LE
On Jun 7, 2012, at 07:28 , Bert Gunter wrote:
> Actually, recycling makes the rep(NA,2) business unnecessary. Simply:
>
> dat1[dat1$x==1 & dat1$y==1,1:2] <- rep(NA,2)
>
> ##or
>
> with(dat1,{dat1[x==1 & y==1,1:2] <- NA;dat1})
>
> will do it.
>
Or, use the assignment form of is.na:
cond <-
Thanks, problem solved.
On Thu, Jun 7, 2012 at 1:58 PM, Daisy Englert Duursma
wrote:
> Hello and thanks for helping.
>
> #some data
> L3 <- LETTERS[1:3]
> dat1 <- data.frame(cbind(x=1, y=rep(1:3,2), fac=sample(L3, 6, replace=TRUE)))
>
>
> #When x==1 and y==1 I want to replace the 1 values with NA
Actually, recycling makes the rep(NA,2) business unnecessary. Simply:
dat1[dat1$x==1 & dat1$y==1,1:2] <- rep(NA,2)
##or
with(dat1,{dat1[x==1 & y==1,1:2] <- NA;dat1})
will do it.
-- Bert
On Wed, Jun 6, 2012 at 10:21 PM, Bert Gunter wrote:
> Have you read "An Intro to R?" If not,please do so
Have you read "An Intro to R?" If not,please do so before posting
further. The way you are going about things makes me think you
haven't, but ...
This **is** a slightly tricky application of indexing, if I understand
you correctly. Here are two essentially identical ways to do it, but
the second i
Hello and thanks for helping.
#some data
L3 <- LETTERS[1:3]
dat1 <- data.frame(cbind(x=1, y=rep(1:3,2), fac=sample(L3, 6, replace=TRUE)))
#When x==1 and y==1 I want to replace the 1 values with NA
#I can select the rows I want:
dat2<-subset(dat1,x==1 & y==1)
#replace the 1 with NA
dat2$x<-rep(N
On Nov 16, 2009, at 7:43 AM, Rafael Moral wrote:
Dear useRs,
I wrote a function that simulates a stochastic model in discrete time.
The problem is that the stochastic parameters should not be negative
and sometimes they happen to be.
How can I conditionate it to when it draws a negative numb
Generate the numbers, test for zero and then set negatives to zero:
> set.seed(1)
> x <- rnorm(100,5,3)
> sum(x<0)
[1] 3
> x[x<0] <- 0
> sum(x<0)
[1] 0
>
On Mon, Nov 16, 2009 at 7:43 AM, Rafael Moral
wrote:
> Dear useRs,
>
> I wrote a function that simulates a stochastic model in discrete time.
Dear useRs,
I wrote a function that simulates a stochastic model in discrete time.
The problem is that the stochastic parameters should not be negative and
sometimes they happen to be.
How can I conditionate it to when it draws a negative number, it transforms
into zero in that time step?
Here
Hello -
Altaweel, Mark R. wrote:
Hi,
I have data stored in a list that I would like to aggregate and
perform some basic stats. However, I would like to apply conditional
statements so that not all the data are used. Basically, I want to
get a specific variable, do some basic functions (such as
E: [R] Conditional statement used in sapply()
> -Original Message-
> From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]
> On Behalf Of Altaweel, Mark R.
> Sent: Wednesday, August 13, 2008 3:03 PM
> To: r-help@r-project.org
> Subject: [R] Conditional statement used in sapply()
&g
> -Original Message-
> From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]
> On Behalf Of Altaweel, Mark R.
> Sent: Wednesday, August 13, 2008 3:03 PM
> To: r-help@r-project.org
> Subject: [R] Conditional statement used in sapply()
>
> Hi,
>
> I have data
: Wednesday, August 13, 2008 6:03 PM
To: r-help@r-project.org
Subject: [R] Conditional statement used in sapply()
Hi,
I have data stored in a list that I would like to aggregate and perform
some basic stats. However, I would like to apply conditional statements
so that not all the data are used. Basica
Hi,
I have data stored in a list that I would like to aggregate and perform some
basic stats. However, I would like to apply conditional statements so that not
all the data are used. Basically, I want to get a specific variable, do some
basic functions (such as a mean), but only get the data i
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