:29 AM
> To: Koenker, Roger W
> Cc: r-help
> Subject: Re: [R] Singular design matrix in rq
>
> Roger:
>
> Doh! Just realized I had that error in the code -- raw_data is the same as
> mydata, so it should be:
>
> mydata <- read.csv("singular.csv")
> plot(
Roger:
Doh! Just realized I had that error in the code -- raw_data is the same as
mydata, so it should be:
mydata <- read.csv("singular.csv")
plot(mydata$predictor,mydata$response)
# A big cloud of points, nothing too weird
summary(mydata)
# No NAs:
# Xresponse predict
Jonathan,
This is not what we call a reproducible example... what is raw_data? Does it
have something to do with mydata?
what is i?
Roger
url:www.econ.uiuc.edu/~rogerRoger Koenker
emailrkoen...@uiuc.eduDepartment of Economics
vox: 217-333-4558
alues then use fewer
degrees
of freedom in bs().
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
From: jgrn...@gmail.com [mailto:jgrn...@gmail.com] On Behalf Of Jonathan
Greenberg
Sent: Thursday, April 18, 2013 6:50 AM
To: William Dunlap
Subject: Re: [R] Singular design matrix in rq
Wi
Have you looked at the result of
bs(raw_data[,i], df=15)
? If there are not many unique values in the input there
will be a lot of NaN's in the output (because there are
repeated knots) and those NaN's will cause rq() to give
that message.
E.g.,
> d <- data.frame(y=sin(1:100), x4=rep(1:4,each=2
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