Hello David:
Thanks for your response.
I am not sure, but isn't an ordered categorical variable integer for all
practical purposes? (R < L)
Further, the problem persists if I change 'at' from seq(-0.3, 0.3, length =
20) to seq(-0.3, 0.3, length = 50; I think this argument is for the color
key l
Your y values are not of the type required by levelplot
? levelplot
I prefer not to use themes as they do not suit my data here is a way to get
what you want - colours are a bit garish but they are some easily to hand
breaks/cuts are just what came in a reasonable sequence - yours to change
tes
On Jul 6, 2014, at 4:35 PM, Sunny Srivastava wrote:
> Hello R-helpers:
>
> I think there is some problem with my code, but I would like to seek you
> help because I can't spot it.
>
> I have a data.frame defined as follows:
>
> testdf <- structure(list(yy = structure(c(1L, 1L, 1L, 1L, 1L, 1L,
Hi Ravi,
Deviance is the SS in this case, but you need a normalizing constant
adjusted by the lambda to put them on the same scale. I modified your
example below to simplify slightly and use the normalization (see the
LL line).
Cheers,
Josh
##
require(MASS)
Hi,
I am trying to do Box-Cox transformation, but I am not sure how to do it
correctly. Here is an example showing what I am trying:
# example from MASS
require(MASS)
boxcox(Days+1 ~ Eth*Sex*Age*Lrn, data = quine,
lambda = seq(-0.05, 0.45, len = 20))
# Here is My attempt at getting t
Hello R-helpers:
I think there is some problem with my code, but I would like to seek you
help because I can't spot it.
I have a data.frame defined as follows:
testdf <- structure(list(yy = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("R", "L"), class =
On Sun, 6 Jul 2014 05:31:34 PM Artur Rataj wrote:
> Hello. I have three data frames, and made a single plot out of them.
Here
> is a workable example:
>
> cloud2 <- data.frame(x = c(0, 1, 2), y = c(0.3, 0.4, 0.5))
> sandwich3 <- data.frame(x = c(1, 2, 3), y = c(0.4, 0.5, 0.6), p =
> c(0.1, 0.6, 0
There appears to be a small bug in the code. What is happening is that
occasionally there are simulated points that lie inside your triangular
window but do not lie inside any pixel of the image created from your
"distorigin()" function.
This will be fixed in a future release of spatstat.
Thank you for your quick reply. Except for the "instances" issue, RWinEdt seems
to be
working well with WinEdt 8.2 so I'll continue to use it. (I can't customize
keyboard shortcuts in
RStudio or some of the other often mentioned editors).
I looked at the code for "startWinEdt" and I can see whe
On 06/07/2014, 4:35 PM, Uwe Ligges wrote:
> The RWinEdt package does not support WinEdt 8.x yet.
>
> Versions 5.x and 6.x shoudl be supported. Not sure about 7.x.
> Unfortunately, the trick to get it working changes with each version of
> WinEdt these days ... Well, I may be too bad in WinEdt mac
The RWinEdt package does not support WinEdt 8.x yet.
Versions 5.x and 6.x shoudl be supported. Not sure about 7.x.
Unfortunately, the trick to get it working changes with each version of
WinEdt these days ... Well, I may be too bad in WinEdt macro programming...
I do notn have the new versions a
I just upgraded WinEdt from 5.2 to 8.2. With the older version, invoking
library(RWinEdt) started a new instance of WinEdt identified by "R-WinEdt" as
the title. This way, I was able to separate R work from other editing work with
two instances of WinEdt running.
However, with the newer versio
Hello. I have three data frames, and made a single plot out of them. Here
is a workable example:
cloud2 <- data.frame(x = c(0, 1, 2), y = c(0.3, 0.4, 0.5))
sandwich3 <- data.frame(x = c(1, 2, 3), y = c(0.4, 0.5, 0.6), p =
c(0.1, 0.6, 0.3))
sandwich4 <- data.frame(x = c(3, 4, 5), y = c(0.6, 0.3, 0.
Greg I just re-copied the latest subplot and its help file from
TeachingDemos to Hmisc for the next release. Thanks for pointing this out.
Frank
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PLEASE do read the post
Arun K,
Not sure about the expected output.
>
> If `dat` is the dataset:
> res <- dat[rep(1:nrow(dat), dat$score),]
> head(res,7)
> team year time score out top goals host format formed culture wcups
> cholder
> 1ARG 19861 6 0 1 40 0 1893 93
> 8 0
> 1.
Hi,
Not sure about the expected output.
If `dat` is the dataset:
res <- dat[rep(1:nrow(dat), dat$score),]
head(res,7)
team year time score out top goals host format formed culture wcups cholder
1 ARG 1986 1 6 0 1 4 0 0 1893 93 8 0
1.1 ARG 1986 1
When using cph in the rms package there is a function Mean that operates
on cph objects to produce an R function for computing the mean or
restricted mean life time.
Frank
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Hello!
I have a dataset which is perhaps rather topical at about this time:
> wc=read.delim("/home/openclive/Documents/worldcup.csv",header=T,sep="\t",fill=T)>
> head(wc,n=20) team year time score out top goals host format formed
> culture wcups cholder times
1 ARG 19861 6 0 1
Yes-I did look through the CRAN view and could not find any package that
featured a function whereby an MRI set was transformed into Talairach or MNI
space.
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PLEASE do rea
Dear R-help list,
I'm using the excellent spatstat package to fit an inhomogeneous Matern
cluster point process model, but unfortunately I'm unable to simulate new
data points from the fitted object.
Specifically, I get the following error message:
Error in rthin(result, P) :
some points of X
many thanks all for this discussion. It was very helpful.
Best,
Axel.
On Sun, Jul 6, 2014 at 5:17 AM, Göran Broström
wrote:
> On 2014-07-06 10:48, Göran Broström wrote:
>
>> David and Axel,
>>
>> I have two comments to your discussion:
>>
>> (i) The area under the survival curve is equal t
On 06/07/2014, 7:56 AM, Witold E Wolski wrote:
> This is the info I got from the data.table developers... Seems that
> they did have tried to find a more elegant solution solution.:
>From my reading of the response below, data.table doesn't use R's sort()
function to do their sorting. You should
This is the info I got from the data.table developers... Seems that
they did have tried to find a more elegant solution solution.:
data.table used to support this until 1.8.6. But since Scollate became
not a part of authorised R-API (IIUC) anymore at some point,
data.table only supports sort/orde
On 06/07/2014, 7:19 AM, Witold E Wolski wrote:
> It seems that the package I am developing depends on the locale "C"
> because of interactions with other packages (data.table).
>
> So I would like to set the locale to "C" as soon as the package is loaded.
> Where can I do it .. I could of course s
It seems that the package I am developing depends on the locale "C"
because of interactions with other packages (data.table).
So I would like to set the locale to "C" as soon as the package is loaded.
Where can I do it .. I could of course set it in every function in my
package but...
___
On 06/07/2014, 6:30 AM, Witold E Wolski wrote:
> This is the result of sorting a character sequence on a linux box
> (with R . 3.10)
See ?sort. The sort order depends on your locale. Set it to "C" for
consistent ordering if that is important to you. For example, on my system:
> "B" < "a"
[1] F
And here is the result when sorting the same sequence on a windows box:
> bla = read.table("xx.txt",stringsAsFactors=F)
> bla = bla[,1]
> bla[1:10]
[1] "1000_DGFVALSK_2_run0" "1000_DGFVALSK_2_run0"
"1000_DGFVALSK_2_run0" "1000_DGFVALSK_2_run0"
[5] "1000_DGFVALSK_2_run0" "1000_DGFVALSK_2_r
This is the result of sorting a character sequence on a linux box
(with R . 3.10)
> bla = read.table("xx.txt",stringsAsFactors=F)
> bla = bla[,1]
> bla[1:10]
[1] "1000_DGFVALSK_2_run0" "1000_DGFVALSK_2_run0"
"1000_DGFVALSK_2_run0" "1000_DGFVALSK_2_run0"
"1000_DGFVALSK_2_run0"
[6] "1000_DGFVA
On 2014-07-06 10:48, Göran Broström wrote:
David and Axel,
I have two comments to your discussion:
(i) The area under the survival curve is equal to the mean of the
distribution, so the estimate of the mean should be the sum of the areas
of the rectangles defined by the estimated survival curve
David and Axel,
I have two comments to your discussion:
(i) The area under the survival curve is equal to the mean of the
distribution, so the estimate of the mean should be the sum of the areas
of the rectangles defined by the estimated survival curve and the
successive distances between obs
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