similar to: need help: regression models

Hello list, I would like to know how can I use contrats in statistical analysis. I have a simple model, "one-way analysis of variance" "or two-way..." (balanced case). I've already used the command aov (model) to get the analysis of variance, but i know that my treatment could be organized in groups, so i would like to test these groups. Example: I have 4 treatments t1,

Hello again, I was looking for some way on How to delete repeated appearance in a String. Let say I have following string: Text <- "ahsgdvasgAbcabcsdahj" Here you see "Abc" appears twice. But I want to keep only 1 occurrence. Therefore I need that: Text_result <- "ahsgdvasgAbcsdahj" (i.e. the first one). Can somebody help me if it is possible using some R

Hi, I have a database of 2211 rows with 31 entries each and I manually split my data into 10 folds for cross validation. I build logistic regression model as: >model <- glm(qual ~ AgGr + FaHx + PrHx + PrSr + PaLp + SvD + IndExam + Rad +BrDn + BRDS + PrinFin+ SkRtr + NpRtr + SkThck +TrThkc + SkLes + AxAdnp + ArcDst + MaDen + CaDt + MaMG + MaMrp + MaSh +

dears R-users, I'm interested in model selection problem, and i have faced some problems that i would like to ask for help. well, this is a very small example with 4 variable (just one var. is the response - z) with 100 individuals i would like to do a stepwise search, for the "best" model, and a use BIC criteria. I know when I have a lot of variables, let's say 120, I know,

I''ve been trying to install OpenSUSE 10.3 as an HVM guest without much success. I''ve been using the mini network installation image `openSUSE-10.3-GM-i386-mini.iso''. First I had to binary-edit the iso to turn off gfxboot, which breaks with current xen-unstable. (In theory you can turn off gfxboot by holding down shift but it is almost impossible to get the timing

Hello, My name is Rodrigo, I am using R program and I have a trouble. I am trying to do a dendrogram with genetics information. Let me explain... The Similarity Matrix was already did, and with this matrix I want to construct a dendrogram. So, the distance is done. I need to transform this matrix (that I have) in a dendrogram, I woud be very grateful if someone could help me. PS: I am sending

Hello alls, I found in the literature a technique that has been evaluated as one of the more robust to assess statistically the significance of the loadings in a PCA: bootstrapping the eigenvector (Jackson, Ecology 1993, 74: 2204-2214; Peres-Neto and al. 2003. Ecology 84:2347-2363). However, I'm not able to transform by myself the following steps into a R program, yet? Can someone could help

Dear All, I have a file (a matrix) on which I have to compute the correlations. The function "cov" compute the correlations between the columns of a matrix, but I want to compute the correlations between the raws. Can somebody say to me how I can carry out that? Thanks Laurence -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list --

Hi , I ''ve got a trouble with using R. When I want to load a file that contains 93 thousand raws and 22 colums of data (essentially float) R shows me this error message "heap size trouble" Does anyone could tell me what parameter shall I precise before launching R in order to load my big file. Thanks a lot -------------- next part -------------- A non-text attachment was

Does anyone have a collection of stupid hold music? Y'know, the sort of thing that would drive a person mad? Silly songs, repetative tunes etc? The best I can come up with is; I know a song that drives everyone up the wall I know a song that drives everyone up the wall I know a song that drives everyone up the wall And this is how it goes I know a song that drives everyone up the wall I

Subject: user/3610: repetable tcpdump remote crash Resent-Date: Sat, 20 Dec 2003 08:55:02 -0700 (MST) Resent-From: gnats@cvs.openbsd.org (GNATS Filer) Resent-To: bugs@cvs.openbsd.org Date: Sat, 20 Dec 2003 16:42:25 +0100 (CET) From: venglin@freebsd.lublin.pl Reply-To: venglin@freebsd.lublin.pl To: gnats@openbsd.org >Number: 3610 >Category: user >Synopsis: repetable

Hi! I am trying to know well asterisk. For that I would like to know the exact role for each config file. Can someone tell me what is the role of the next ones or a web where I could find this information? That will be very helpful. - alsa.conf - enum.conf - modem.conf - modules.conf - oss.conf: what is oss? - parking.conf: what is parking? - rpt.conf: what is radio repeter? - queues.conf -

Hi, The unique function is easy to understand and use. Beyond that, I want to get also the frequency of repetition of each individual row in a data frame Let me explain with an example : x<-data.frame(a=c(1,2,3,1,2),b=c(2,3,4,2,3),c=c(10,20,30,10,20)) xu<-unique(x) We have, > x ? a b? c 1 1 2 10 2 2 3 20 3 3 4 30 4 1 2 10 5 2 3 20 > xu ? a b? c 1 1 2 10 2 2 3 20 3 3 4 30 I want to get

I am trying to call a precompiled C function that uses a struct as one of it's arguments. I could write a wrapper function in C, but I was hoping there is some way to pack fields into an array of type raw that could be passed directly to the function. Here is some more detail. The C struct is simple, but has mixed types: struct STRUCT1 { long type; long nx; double

Readers, Data set: t,c 0,100 40,78 80,59 120,38 160,25 200,21 240,16 280,12 320,10 360,9 400,7 graphdata<-read.csv('~/tmp/data.csv') graphmodeld<-lm(log(graphdata[,2])~graphdata[,1]) graphmodelp<-exp(predict(graphmodeld)) plot(graphdata[,2]~graphdata[,1]) lines(graphdata[,1],graphmodelp) Please what is the function and syntax to obtain gradient values for the model curve at

This smells like homework, which the Posting Guide indicates is off topic. I am not aware of "the function" that will solve this, but if you know what a gradient is analytically then you should be able to put together a solution very similar to the code you already have with the addition of using the coef function. -- Sent from my phone. Please excuse my brevity. On April 5, 2018

Try coef( graphmodeld ) And you don't need to approximate if you use the newdata argument to the predict function. I think reading the "Introduction to R" that comes with R would help. -- Sent from my phone. Please excuse my brevity. On April 5, 2018 2:00:45 PM PDT, g l <gnulinux at gmx.com> wrote: >> Sent: Thursday, April 05, 2018 at 4:40 PM >> From:

> On Apr 5, 2018, at 2:00 PM, g l <gnulinux at gmx.com> wrote: > >> Sent: Thursday, April 05, 2018 at 4:40 PM >> From: "Jeff Newmiller" <jdnewmil at dcn.davis.ca.us> >> >> the coef function. >> > > For the benefit of other novices, used the following command to read the documentation: > > ?coef > > Then tried and

Dear All, I am trying to merge 2 dataframes of with different sizes. Let's say that one dataframe R contains some raw data and another data frame F contains the information to fix R. For instance F <- data.frame(cbind(x=-seq(10), y=1:10, z=3:12, w=8:17, p=18 )) R <-

gem install pg give the following error, please help how can i solve this Building native extensions. This could take a while... ERROR: Error installing pg: ERROR: Failed to build gem native extension. /home/saravanan/.rvm/rubies/ruby-1.9.3-p194/bin/ruby extconf.rb checking for pg_config... yes Using config values from /usr/bin/pg_config checking for libpq-fe.h... yes checking for