similar to: LMS estimation for lmsqreg package

Dear Niels I am trying to construct some anthropometric standards for adults using LMS and GAMLSS in R. I saw that you had a problem that I have with the package lmsqreg of the package being reported as "not a valid package". I presume you solved your problem, but I did not see how in the r-help list. Can you help? Thanks, Richard Palmer-Jones [[alternative HTML version

We are constructing growth charts (age/weight and age/length) for children with diagnosis that impacts weight/length. But we we don't know how to use R for producing growth charts. We are collection data of Age, Weight and Length. The data are used to produce diagnosis-specific Growth charts (like the CDC Growth Charts:

Dear All: I am a newbie to R. I am trying to use the lmsqreg.fit pack, although I have installed(I think) it I am not able to invoke it when write the code for it. Here's what I got when I installed it. package 'lmsqreg' successfully unpacked and MD5 sums checked And here is what I got with library(lmsqreg): Attaching package: 'lmsqreg' The following object(s) are

Dear All: I have succeeded in fitting a GAMLSS.dist model to growth data I am working with it. My aim is to create a matrix of predicted percentiles and the corresponding the fitted model's sigma mu nu by agebins. Q: How do it generate these parameters as in L M S per Cole and Green 1992? Here are my working codes. Name of fitted model is gamlssfit > Agebin<-seq(6,36,6)

Hi, Is it possible to produce box-and-whisker plots given that I have the median, interquartile and 5/95th centile values, but not the data from which they come? It seems that it ought to be possible to coerce bxp to do what I want, but I can't quite see how. Thanks, Matthew -- Matthew Vernon, Research Fellow Ecology and Epidemiology Group, University of Warwick

Hi, I have been using the lqs function with method='lms'. However the results I get are a little different from the results noted by Rousseeuw & Leroy (Robust Regression and Outlier Detection) and I was wondering how to use these results for outlier detection. I'm using the stackloss dataset, for which the original Rousseeuw et al. program points out that observations 1,2,3,4

Dear R People: Has anyone used R2HTML in web files that were on the Blackboard LMS, please? I'm starting to do these but wanted to know if there were any potential pitfalls. Thanks, Erin -- Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto: erinm.hodgess at gmail.com

Everything is ok on Firefox, IE, and iPad. Thanks, Erin On Tue, Jan 8, 2013 at 7:58 PM, Erin Hodgess <erinm.hodgess at gmail.com> wrote: > Dear R People: > > Has anyone used R2HTML in web files that were on the Blackboard LMS, please? > > I'm starting to do these but wanted to know if there were any > potential pitfalls. > > Thanks, > Erin > > > --

Hi I want to run a Samba PDC with LDAP backend on a FreeBSD 6.2 for Sparc64. And off course, if I send this mail, it is not working ! :-( I have this error message when using smbclient on the PDC itself. The command line is: smbclient -L janus -Uadministrator%toto The result is: session setup failed: Call returned zero bytes (EOF) I've tested on 2 differents FreeBSD6.2 Sparc64, I have the

R 2.1.1 Win 2k Would someone suggest a method (or methods) that can be used to determine ntile cutpoints of a vector, i.e. to determine values that can be used to divide a vector into thirds such as 0-33 centile, 34-66 centile, 67-100 centile. If for example I had a vector: 1,2,3,4,5,6,7,8,9 and wanted to divide the vector into thirds I would have cut-points of 3, and 6. Thanks, John John

I am having problems trying to get R to graph data input that is log-normal on the horizontal (x) axis. The data is log (base 10), and I am more interested in viewing the tails of the distribution. The closest I can get with this is log on the vertical (y) axis and linear on the horizontal axis. Note that the x-axis is Centile (0%-100%) and is at this time linear, however I want it to be

Hi, I would like to customise an end user application like Centiles's callpad software (http://www.centile.com/solutions-applications-callpad.php ). Its purpose is to allow users to set or read various personal phone-related parameters (call history, voicemail settings, conference, ...) instead of using phone keys combinations. Are you aware of any software that could be used for this ?

Hello, here my achitecture: client1--Asterisk1----ser1---centile client2-- client1 do a call to centile. centile do a forward to client2 (Diversion) and then use the same CALL-ID! when asterisk1 receive the call with the same CALL-ID, it screen "Now forwarding SIP/XXXX -000002f6 to 'Local/MCDU at kamailio ' (thanks to SIP/YYY-000002f7)" I don't want that asterisk receive

Hello List, I'm trying to setup MGCP channel with a Centile Media Hub box. My Centile box has 4 ports and I got no dial tone. Can somebody help with this isuue? This is my mgcp.conf and extensions.conf Thanks Daniel. ; MGCP Configuration for Asterisk ; [general] port = 2427 bindaddr = 192.168.11.20 disallow=all allow=g729 allow=alaw allow=ulaw [192.168.11.200] context=MGCP

Hi I want to run a Samba PDC with LDAP backend on a FreeBSD 6.2 for Sparc64. And off course, if I send this mail, it is not working ! :-( I have this error message when using smbclient on the PDC itself. The command line is: smbclient -L janus -Uadministrator%toto The result is: session setup failed: Call returned zero bytes (EOF) I've tested on 2 differents FreeBSD6.2 Sparc64, I have the

I'm wondering if there is a simple way to assign a quantile to a vector in a data frame, much like one could in Stata using centile. Let's say I want 100 slices in my assignation. I can easily see what the limits of each slice by using quantile: quantile(my.df$my.var, probs=seq(0, 1, 0.01)) But how do I assign the appropriate value to each row/record in my data frame? Clearly the

I am having problems trying to get R to graph data input that is log-normal on the horizontal axis like the example I have attached and is also below. The data is log (base 10), and I am more interested in viewing the tails of the distribution. The closest I can get with this is log on the vertical axis and linear on the horizontal axis. This is what I have so far: plot(x,y,type="l",

Dear R users, I am having trouble devising an efficient way to run a loess() function on all columns of a data.frame (with the x factor remaining the same for all columns) and I was hoping that someone here could help me fix my code so that I won't have to resort to using a for loop. (You'll find the upcoming lines of code in a single block near the end of the message.) Here's a

We are trying to read a sas export file into R. (Works fine on Mac by ftping the export file from solaris box and then importing to R with read.xport, this gives rational numbers etc.) Trying to do this on an IBM Power p655 running linux, reading the same sas export file as used on MAC, in this case the results are not rational. Many of the numbers are interpreted as INF etc. Is it possible

Hi, As part of the analysis of a longitudinal study, I have a list, called wg, on R 1.3.1 for windows created as follows - wg <- by(xx, xx$mrn, function(xx) lm(xx$maternal.wt ~ xx$gestation, data=xx)) xx is a data.frame, and so wg contains the results of 293 linear regressions, as lm objects. Now what I want is to extract the 293 intercepts and regression coefficients as a vector, and