I would like to do external validation using R software. So far I have used
packages like "Design" and "DAAG". However they perform internal validation
rather than external one. In order to perform external validation I would
have to split my data beforehand into training and test set, leave the te
Paul Johnson wrote:
m1 <- lm(log(y) ~ log(x), data = dat)
termplot shows log(y) on the vertical. What if I want y on the vertical?
plotmo in the plotmo package has an inverse.func argument,
so something like the following might work for you?
library(MASS)
library(plotmo)
log.brain <- log(An
Ross Marriott fish.wa.gov.au> writes:
>
> Dear R Help,
>
> I would like to use the glmer.nb function for mixed modelling using
negative binomial distribution please.
>
> On the CRAN website apparently this function is
> called from the lme4 package (version 0.9911-1).
>
> I have download
Dear All,
I am not very familiar with ASCII file format, and now I am trying to
export R data frame into STATA
When I run write.dta command, there is a warning below appear.
5: In abbreviate(ll, 80L) : abbreviate used with non-ASCII chars
Do you have any suggestion to fix it?
All the bests
On 18/05/2013 14:05, Niklas Fischer wrote:
Dear All,
I am not very familiar with ASCII file format, and now I am trying to
ASCII is an encoding, not a file format.
export R data frame into STATA
When I run write.dta command, there is a warning below appear.
5: In abbreviate(ll, 80L) : abbre
Dear useRs,
I am pleased to announce the release of the new package PNN.
PNN implements the algorithm proposed by Specht (1990). It is written in the R
statistical language. It solves a common problem in automatic learning. Knowing
a set of observations described by a vector of quantitative var
Presumably it means what it says : You have a non-ASCII character in the
dataset. Any accented character, for example, is going to be outside the basic
ASCII character set.
Examples
mydata <- data.frame(étt=1:10) # error
newdata <- data.frame(ntt=1:10) # no error
See http://www.theascii
As Rainer Schuermann says, use the xtable package. Have a look at the
documentation entitled xtable gallary --available at your friendly neigbourhood
CRAN site and have a look at section 3.1. and it's probably a good idea to look
at ?print.xtable as well
You might also what to have a look at th
Hello all, please forgive my lack of knowledge, but I am somewhat new to R and
would be very grateful for some help. I have tried some searches, but am not
even quite sure what to search for. I will describe my problem:
I have a number of nodes (or entities) and pairwise (Euclidean) distances f
Splitting one dataset into training and test is still internal validation,
and it requires an enormous sample size (around 20,000 typically) in order
to be competitive with the bootstrap.
Note that the Design package has been replaced with rms, and rms has two
functions for external validation (va
On 5/17/2013 3:45 PM, Jesse Gervais wrote:
Hi there,
I want to do several bivariate linear regressions and, than, do a
multivariate linear regression including only variables significantly
associated *(p < 0.15)* with y in bivariate analysis, without having to
look manually to those p values.
Have you looked into "multidimensional scaling"? There are lots of variants,
many of which are in R packages.
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf
> Of Rory Wil
Hi all,
I have a time series Y which I have modelled as ARIMA(2,0,2) by using the
arima function .
I want to know the model predicted values so that I can compare them with
the actual values.
Which function do I need to use to get the predicted values? I have tried
to find out, but with no luck ti
Hello,
At an R prompt type
?predict.Arima
Hope this helps,
Rui Barradas
Em 18-05-2013 21:42, Preetam Pal escreveu:
Hi all,
I have a time series Y which I have modelled as ARIMA(2,0,2) by using the
arima function .
I want to know the model predicted values so that I can compare them with
the
On 17.05.2013 12:57, Duncan Murdoch wrote:
On 13-05-16 9:56 PM, Seth Myers wrote:
Let's say I would like to look inside the function corBrownian in library
(ape). When I type in the function name I get the following, which is
not
nearly the detail that goes into this function. I am wondering
On 17.05.2013 13:34, Emily Gleeson wrote:
Dear All,
I have a query about using log scales for filled.contour plots. I have
used log values on the x and y axes but labelled the axes with their
linear (non-log) values. I's like to do the same with the contour
values. I want the range to go from
Hi,
I want to plot grouped bars to compare 95% confidence interval estimates
from two models. Each bar represents a 95% confidence interval estimate
of a coefficient from one of the two models. Each group represents
confidence interval estimates of the same coefficient from the two models.
I
Hi,
Thanks Rui, but the problem is at this point, I don't want to predict.
I want to see for the time being, how good my model fits the previous data
points.
So, if I specify n.ahead=-1 (or any -ve value) , R shows an error like:
Error in rep(1, n.ahead) : invalid 'times' argument
How do I get thi
On 19-05-2013, at 05:25, Preetam Pal wrote:
> Hi,
>
> Thanks Rui, but the problem is at this point, I don't want to predict.
> I want to see for the time being, how good my model fits the previous data
> points.
> So, if I specify n.ahead=-1 (or any -ve value) , R shows an error like:
> Error i
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