search for: brian_cade

Displaying 20 results from an estimated 34 matches for "brian_cade".

2005 Oct 12
2
subsetting with by() or other function??
...population. I thought I could do something using by(csss3,list(locid, population), function) but don't seem to be having any success. Any suggestions?? Brian Brian S. Cade U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: brian_cade@usgs.gov tel: 970 226-9326 [[alternative HTML version deleted]]
2012 Nov 30
1
Fw: quantreg installation and conflicts with R 2.15.2
...imilar error about object 'kronecker' in "Matrix" package when trying to load "lme4". So this is a more pervasive problem. Brian Brian S. Cade, PhD U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: brian_cade@usgs.gov tel: 970 226-9326 ----- Forwarded by Brian S Cade/BRD/USGS/DOI on 11/30/2012 02:07 PM ----- From: Brian S Cade/BRD/USGS/DOI To: R-help@r-project.org Date: 11/30/2012 01:16 PM Subject: quantreg installation and conflicts with R 2.15.2 I recently lost the partitions on my hard drive (sec...
2012 Apr 19
2
ANOVA in quantreg - faulty test for 'nesting'?
I am trying to implement an ANOVA on a pair of quantile regression models in R. The anova.rq() function performs a basic check to see whether the models are nested, but I think this check is failing in my case. I think my models are nested despite the anova.rqlist() function saying otherwise. Here is an example where the GLM ANOVA regards the models as nested, but the quantile regression ANOVA
2007 Mar 19
1
likelihoods in SAS GENMOD vs R glm
...318 0.0320 0.00 0.9941 Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. Brian Brian S. Cade U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: brian_cade@usgs.gov tel: 970 226-9326 [[alternative HTML version deleted]]
2017 Dec 05
2
warnings about factor levels dropped from predict.glm
...doing the algebra and the predict.glm() function is working correctly incorporating the factor levels on my machine. Any thoughts??? Brian Brian S. Cade, PhD U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: cadeb at usgs.gov <brian_cade at usgs.gov> tel: 970 226-9326 [[alternative HTML version deleted]]
2018 Jan 12
1
glm$effects
...with just an intercept term, the $effects for the n observations differ from $y by a constant quantity except for one of the values. Brian Brian S. Cade, PhD U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: cadeb at usgs.gov <brian_cade at usgs.gov> tel: 970 226-9326 [[alternative HTML version deleted]]
2005 Feb 23
2
stopping a function
...ld be nice to stop them without killing the R session. I've been using taskmgr to end the R session but I then lose all objects created during the session. Brian Brian S. Cade U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: brian_cade at usgs.gov tel: 970 226-9326
2005 Nov 22
3
modifying code in contributed libraries - changes from versions 1.* to 2.*
...s about how to edit these but my search of the online documentation, etc. didn't suggest any simple approach like I use to do. Any help would be welcome. Brian Brian S. Cade U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: brian_cade@usgs.gov tel: 970 226-9326 [[alternative HTML version deleted]]
2012 Nov 30
1
quantreg installation and conflicts with R 2.15.2
...? is not exported by 'namespace:methods' During startup - Warning message: unable to restore saved data in C:\CADESTUFF\DATA\BarryNoon\.RData > Brian Brian S. Cade, PhD U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: brian_cade@usgs.gov tel: 970 226-9326 [[alternative HTML version deleted]]
2017 Dec 05
0
warnings about factor levels dropped from predict.glm
...ing correctly > incorporating the factor levels on my machine. Any thoughts??? > > Brian > > Brian S. Cade, PhD > > U. S. Geological Survey > Fort Collins Science Center > 2150 Centre Ave., Bldg. C > Fort Collins, CO 80526-8818 > > email: cadeb at usgs.gov <brian_cade at usgs.gov> > tel: 970 226-9326 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the...
2007 Nov 16
1
graphics - line resolution/pixelation going from R to windows metafile
...I'm guessing somewhere in R's graphing parameters/controls there might be a solution but I've yet to find it. Any suggestions would be welcome. Brian Brian S. Cade U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: brian_cade@usgs.gov tel: 970 226-9326 [[alternative HTML version deleted]]
2011 Jul 21
2
Quantreg-rq crashing trouble
Hi I am using the quantreg package for median regression for a large series of subsets of data. It works fabulously for all but one subset. When it reaches this subset, R takes the command and never responds. I end up having to kill R and restart it. It appears to be something with the particular data subset, but I can't pinpoint the problem. Here are some details Operating system:
2006 Feb 21
3
How to get around heteroscedasticity with non-linear leas t squares in R?
Your understanding isn't similar to mine. Mine says robust/resistant methods are for data with heavy tails, not heteroscedasticity. The common ways to approach heteroscedasticity are transformation and weighting. The first is easy and usually quite effective for dose-response data. The second is not much harder. Both can be done in R with nls(). Andy From: Quin Wills > > I am
2024 Jun 26
0
emmeans (component = " response", type = "response")
...="response" , type = "response" would do that but that does not seem to be the case. Thank you Brian Brian S. Cade, PhD U. S. Geological Survey (emeritus) Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: cadeb at usgs.gov<mailto:brian_cade at usgs.gov> tel: 970 404-0447 [[alternative HTML version deleted]]
2006 May 05
1
MRPP in R
Hello, I'm looking for a R function proceeding MRPP (Multi-Response Permutation Procedures). Is it available? Thanking you in anticipation, Jeanne Vallet, PhD student [[alternative HTML version deleted]]
2008 Jun 16
0
weights in lmer
...lt;- lmer(HD_RATE ~ NUM_PAIR + (NUM_PAIR|HMA),data=out2.5,weights=HOURS/max(HOURS), contrasts=list(NUM_PAIR="contr.treatment"),family=gaussian) Brian Brian S. Cade, PhD U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: brian_cade@usgs.gov tel: 970 226-9326 [[alternative HTML version deleted]]
2008 Oct 07
2
weighted quantiles
I have a set of values and their corresponding weights. I can use the function weighted.mean to calculate the weighted mean, I would like to be able to similarly calculate the weighted median and quantiles? Is there a function in R that can do this? thanks, Spencer [[alternative HTML version deleted]]
2006 Mar 28
1
non parametric MANOVA
Dear colleagues, has anyone an idea how to carry out a nonparametric manova for comparing K groups? has anyone a good package of non-parametric stats? Thank you for your help. -- José David Gómez Químico Farmacéutico Universidad Nacional [[alternative HTML version deleted]]
2010 Jul 30
0
standard error for predicted mean count from ZIP
...-inflated Poisson regression model estimated by the zeroinfl() function from the pscl package (and yes, we've checked with A. Z. already)? Thank you Brian Brian S. Cade, PhD U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: brian_cade@usgs.gov tel: 970 226-9326 [[alternative HTML version deleted]]
2009 May 22
1
Goodness of fit in quantile regression
Dear R users, I've used the function qr.fit.sfn to estimate a quantile regression on a panel data set. Now I would like to compute an statistic to measure the goodness of fit of this model. Does someone know how could I do that? I could compute a pseudo R2 but in order to do that I would need the value of the objetive function at the optimum and I don't see how to get this from the