Displaying 20 results from an estimated 2000 matches similar to: "Is there a "latex" summary function in the quantreg package for just 1 tau?"
2006 May 25
0
Problem with ols in quantreg package
Hello everybody!
I am currently using the quantreg package on R 2.2.1. for my diploma thesis and want to create plots with plot.summary.rqs, which should work like this:
Usage:
plot.summary.rqs(x, nrow=3, ncol=2, alpha = 0.1, ols = TRUE, ...)
Arguments:
x: an object produced by rq() fitting
nrow: rows in mfrow
ncol: columns in mfrow
alpha: alpha level of
2011 Jan 11
1
Problems producing quantreg-Tables
Hi Folks,
I've got a question regarding the 'quantreg' package maintained by Roger
Koenker:
I tried to produce LaTeX tables using the longtable and dcolumn options
as decribed in the manual, but the function latex() doesn't seem to
react on _any_ other options than 'digits' and 'transpose'.
To reproduce these results the following minimal example may be used:
2007 Jan 10
1
2 problems with latex.table (quantreg package) - reproducible
Dear all,
When using latex.table from the quantreg package, I don't seem to be able to set
table.env=FALSE: when I don't specify caption (as I think I should, when
understanding the R help rightly(?)), I get an error message, and when I
do so, of course I get one, as well.
The funny thing is, that a table is indeed produced in the first case,
so I get a nice tabular, but as I'm using
2018 Mar 31
2
Fast tau-estimator line does ot appear on the plot
Dear R-experts,
Here below my reproducible R code. I want to add many straight lines to a plot using "abline"
The last fit (fast Tau-estimator, color yellow) will not appear on the plot. What is going wrong ?
Many thanks for your reply.
##########
Y=c(2,4,5,4,3,4,2,3,56,5,4,3,4,5,6,5,4,5,34,21,12,13,12,8,9,7,43,12,19,21)
2018 Mar 31
0
Fast tau-estimator line does ot appear on the plot
On 31/03/2018 11:57 AM, varin sacha via R-help wrote:
> Dear R-experts,
>
> Here below my reproducible R code. I want to add many straight lines to a plot using "abline"
> The last fit (fast Tau-estimator, color yellow) will not appear on the plot. What is going wrong ?
> Many thanks for your reply.
>
It's not quite reproducible: you forgot the line to create
2009 May 18
2
Overlay two quantreg coefficients plots
Dear R-mailing list,
I would like to overlay to two quantreg coefficients plots. I have
plot(summary(rq(ff~tipo,tau = 1:49/50,data=Spilldata)))
plot(summary(rq(ff~tipo,tau = 1:49/50,data=Spilldata1)))
Is there a possibility to display the two in the same graph?
Thank you so much!!!
Christian
[[alternative HTML version deleted]]
2008 Feb 05
1
Got *** caught segfault *** with Quantreg on Mac (PR#10699)
Full_Name: Edward Huang
Version: 2.6.1
OS: Mac OS 10.5.1 Leopard
Submission from: (NULL) (71.198.106.232)
I'm trying to run quantile regression on my data. I just couldn't make it work.
The same dataset ran okay on STATA 10, tho.
Would you please take a look at it?
Here is the error message:
*** caught segfault ***
address 0x3ff00008, cause 'memory not mapped'
Traceback:
2011 Mar 21
2
rqss help in Quantreg
Dear All,
I'm trying to construct confidence interval for an additive quantile regression
model.
In the quantreg package, vignettes section: Additive Models for Conditional
Quantiles
http://cran.r-project.org/web/packages/quantreg/index.html
It describes how to construct the intervals, it gives the covariance matrix for
the full set of parameters, \theta is given by the sandwich formula
2012 Jul 28
4
quantreg Wald-Test
Dear all,
I know that my question is somewhat special but I tried several times to
solve the problems on my own but I am unfortunately not able to compute the
following test statistic using the quantreg package. Well, here we go, I
appreciate every little comment or help as I really do not know how to tell
R what I want it to do^^
My situation is as follows: I have a data set containing a
2011 Oct 16
1
nlrq {quantreg}
Dear all,
I sent an email on Friday asking about nlrq {quantreg}, but I haven't received any answer.
I need to estimate the quantile regression estimators of a model as: y = exp(b0+x'b1+u). The model is nonlinear in parameters, although I can linearise it by using log.When I write:
fitnl <- nlrq(y ~ exp(x), tau=0.5)
I have the following error: Error in match.call(func, call = cll) :
2018 Apr 06
1
Fast tau-estimator line does not appear on the plot
R-experts,
I have fitted many different lines. The fast-tau estimator (yellow line) seems strange to me?because this yellow line is not at all in agreement with the other lines (reverse slope, I mean the yellow line has a positive slope and the other ones have negative slope).
Is there something wrong in my R code ? Is it because the Y variable is 1 vector and should be a matrix ?
Here is the
2018 Apr 07
0
Fast tau-estimator line does not appear on the plot
You need to pay attention to the documentation more closely. If you don't
know what something means, that is usually a signal that you need to study
more... in this case about the difference between an input variable and a
design (model) matrix. This is a concept from the standard linear algebra
formulation for regression equations. (Note that I have never used RobPer,
nor do I regularly
2012 May 24
1
plot(summary) quantreg - Not all outputs needed
Hi Folks,
I am currently trying to present some results I obtained by using the
quantreg package developed by Roger Koenker. After calculating
fit<-summary(rq(Y~X1+X2, tau=2:98/100) ) the function plot(fit) presents a
really nice the results by showing the values for all "regressors" in the
given interval tau. But in my case, I only need the output of a single
variable, say X1 and I
2009 Jun 30
2
odd behaviour in quantreg::rq
Hi,
I am trying to use quantile regression to perform weighted-comparisons of the
median across groups. This works most of the time, however I am seeing some
odd output in summary(rq()):
Call: rq(formula = sand ~ method, tau = 0.5, data = x, weights =
area_fraction)
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 45.44262 3.64706 12.46007
2011 Mar 16
4
plotting multiple figures on one page
I am new to the R language. I am trying to plot multiple figures on one page
through a loop, but the code just produce one graph on one page. Can someone
show some light on what's wrong?
Here is my code:
library("quantreg")
tcdata<-read.table("mydata.txt",header=TRUE)
postscript("myfigure.ps")
basins<-
2006 Jul 17
2
Quantreg error
Dear User,
I got the following error running a regression quantile:
> rq1<-rq(dep ~ ., model=TRUE, data=exo, tau=0.5 );
> summary(rq1)
Erro em rq.fit.fnb(x, y, tau = tau + h) :
Error info = 75 in stepy: singular design
Any hint about the problem?
Thanks a lot,
________________________________________
Ricardo Gon?alves Silva, M. Sc.
Apoio aos Processos de Modelagem Matem?tica
2012 May 28
2
R quantreg anova: How to change summary se-type
He folks=)
I want to check whether a coefficient has an impact on a quantile regression
(by applying the sup-wald test for a given quantile range [0.05,0.95].
Therefore I am doing the following calculations:
a=0;
for (i in 5:95/100){
fitrestricted=rq(Y~X1+X2,tau=i)
tifunrestrited=rq(Y~X1+X2+X3,tau=i)
a[i]=anova(fitrestricted,fitunrestricted)$table$Tn) #gives the Test-Value
}
supW=max(a)
As anova
2008 May 15
2
plot(summary) within quantreg package
Quantreg package allows to plot the summary of models derived by quantile
regression at different taus.
The plot shows the parameters variation by varying taus: intercept and slope
(for a linear model).
Together with these values even confidence intervals may be plotted, based
on the threshold given within the summary (e.g. alpha=0.01 equals 99% CI).
However the graphic even plots the mean of
2009 Jul 21
1
package quantreg behaviour in weights in function rq,
Dear all,
I am having v.4.36 of Quantreg package and I noticed strange behaviour when
weights were added. Could anyone please explain me what if the results are
really strange or the behavioiur is normal. As an example I am using dataset
Engel from the package and my own weights.
x<-engel[1:50,1]
y<-engel[1:50,2]
w<-c(0.00123, 0.00050, 0.00126, 0.00183, 0.00036, 0.00100,
0.00122,
2009 Jun 24
2
Memory issues on a 64-bit debian system (quantreg)
Rers:
I installed R 2.9.0 from the Debian package manager on our amd64
system that currently has 6GB of RAM -- my first question is whether
this installation is a true 64-bit installation (should R have access to
> 4GB of RAM?) I suspect so, because I was running an rqss() (package
quantreg, installed via install.packages() -- I noticed it required a
compilation of the source) and