i am trying to install xml2 from CRAN, and it is throwing an error
that it cannot find the libxml2 library configuration.
The thing is that pkg-config seems to be set up correctly:
$ echo $PKG_CONFIG_PATH
:/usr/local/opt/libxml2/lib/pkgconfig:/usr/local/opt/libxml2/lib/pkgconfig
$ pkg-config --c
I answered the question on SO. In short the differences come from
truncated vs. untruncated models and conditional vs. unconditional
expectations. Feel free to follow-up on SO or here on the list...
On Fri, 16 Feb 2018, John Wilson wrote:
Hello,
I'm using pscl to run a hurdle model. Everythi
Consider an analysis of covariance involving age and cohort. The goal is
to assess whether the influence of cohort
depends upon the age. The simplest case involves data as follows
value Age Cohort
x1 1 3
x2 1 4
x3 1 5
x4 2 3
x5 2
Hello,
I'm using pscl to run a hurdle model. Everything works great until I get to
the point of making predictions. All of my "count" predictions are lower
than my actual data, and lower than the "response" predictions, similar to
the issue described here (
https://stat.ethz.ch/pipermail/r-help/20
Hi Loris,
Thanks. I tried to update the R software and reinstalled the GDAL library.
It works now.
On Thu, Feb 15, 2018 at 11:49 PM, Loris Bennett
wrote:
> Hi Lily,
>
> lily li writes:
>
> > Hi R users,
> >
> > Could you help me to see this problem? I could now load "rgdal" even
> though
> > I
Thank you Terry. Right now I can use comp() from survMisc package to do the
2-parameter version of F-H weighting. I think both SAS and stata offer the
2-parameter version, so just thought it would be nice if survdiff() can have
that option given it's standard package in R.
Thanks!
John
On
Hi Petr;
I would like to get a plot with names as they are in the original file.
They are chemical names and I have 733 in the my file. For example, let me
give to chemical names "*2-hydroxybutyrate/2-hydroxyisobutyrate*" and
"*palmitoyl-arachidonoyl-glycerol
(16:0/20:4) [1]**" .So, what should I
> > From: Leif Ruckman [mailto:leif.ruck...@kau.se]
> > Sent: Friday, February 16, 2018 3:27 PM
> > To: PIKAL Petr
> > Subject: RE: stem - strange leaves
> >
> > Thank you, I also found that solution but I think it is strange that
> > this happens at all. I have tried different data and sometimes
In addition to stem() in the graphics package, there are other implementations
of stem-and-leaf plots that add additional features such as stem.leaf() in
package aplpack which will includes a function to produce back to back stem and
leaf plots.
David L
Hi
R is open source so you could dig into the code. However the actual stem
function is probably written in C, so it is beyond my expertise. If you replied
to the list there could be experts who are able to provide explanation.
> stem
function (x, scale = 1, width = 80, atom = 1e-08)
{
if (
Hi
What do you mean „without reordering the names“. Factor variable is ordered
according to its levels and you can freely change the ordering. This is why
factors are useful and worth to use in many cases instead of character vectors.
See this result
> iris$MySpecies<-factor(iris$Species, leve
You are correct that the survreg routine only supports 'rho' of the
Fleming-Harrington G-rho tests. This is a function of age -- I wrote the
original code back when I was working with Tom (Fleming), and he was only using
1 parameter. Later he and David expanded the test to two parameters. Thi
Hi Petr;
Thanks. I do save the result in pdf by using the following command.
ggsave("z7.pdf", p4, height = 95, width = 8, device=pdf, limitsize =
F,dpi=300)
I can achieve the y axis with 733 levels. But I need get the plot WITHOUT
reordering the names.
Regards,
Greg
On Fri, Feb 16, 2018 a
Hi
I do not know why does it happen but you can control the behaviour by setting
scale to 0.5.
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Leif Ruckman
> Sent: Friday, February 16, 2018 9:18 AM
> To: r-help@r-project.org
> Subject:
Hi
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of greg holly
> Sent: Thursday, February 15, 2018 3:58 PM
> To: r-help mailing list
> Subject: [R] Putting 733 discrete categories on Y-axis in qqplot2 as they are
>
> Hi all;
>
> I have 733 discrete ca
Hi,
Sorry not to provide R-code in my previous mail. R code is below
#install.packages("rms")
require(rms)
#install.packages("mstate")
library(mstate)
require(splines)
library(ggplot2)
library(survival)
library(splines)
#install.packages("survsim")
require(survsim)
set.seed(10)
df<-crisk.sim(n=
Dear R users,
I am new to R and wanted to apply competing risk methods in my research
work. I used the R code given by Zhang et al in his paper 'Nomogram for
survival analysis in the presence of competing risks published in Ann Trans Med
2017:5(20):403.
I am struggling with getting calibra
Le 16/02/2018 à 10:24, Peter Dalgaard a écrit :
To give a short answer to the original question:
On 16 Feb 2018, at 05:02 , Rolf Turner wrote:
In order to ascribe unique values to the parameters, one must apply a "constraint". With
the "treatment contrasts" the constraint is that
beta_1 = 0
To give a short answer to the original question:
> On 16 Feb 2018, at 05:02 , Rolf Turner wrote:
>
> In order to ascribe unique values to the parameters, one must apply a
> "constraint". With the "treatment contrasts" the constraint is that
> beta_1 = 0.
...and consequently, being a constant
> x
[1] 8.0 7.9 7.5 7.0 8.0 7.3 8.0 7.2 7.4 7.3 7.8 8.0 7.7 8.3 7.8 7.8 7.1 7.7 6.9
7.5 7.5 7.3 7.2 7.5 7.2
> stem(x)
The decimal point is at the |
6 | 9
7 | 012223334
7 | 778889
8 | 3
> y <- c(x, 8)
> stem(y)
The decimal point is 1 digit(s) to the left of the |
68 | 0
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