similar to: lm() output with quantiative predictors not the same as SAS

I compiled R 2.1.0 under Windows XP SP2 as a preliminary to rebuilding a custom package for use with R 2.1.0. The compile completed successfully, and I was able to run demo(graphics) successfully. But make check and make check-recommended fail. > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 1.0 year 2005

Regarding unusual combinations of factors in categorical data. Are there any R packages that can be used to identify the outliers i.e. unusual combinations in categorical datasets ? Thanks. ================================================================================ Notice of Confidentiality This transmission contains information that may be confidential and that may also be

I am out of the office until 01/05/2012. Please note that I have changed email address. You can contact me at alan.chalk@uk.rsagroup.com Note: This is an automated response to your message "R-help Digest, Vol 100, Issue 26 [Virus checked]" sent on 25/06/2011 11:00:11. This is the only notification you will receive while this person is away. Notice of Confidentiality This

Hello, I hope it's ok to post here for a job offer. A dynamic IVR company has a current opportunity for a R&D Jr developer. The right candidate will have a background in developing and managing Linux based software systems, some experience in the IVR industry is a huge plus. Expertise in the following areas is a must: * VoIP: Asterisk * Languages: Ruby, C, PHP, MySQL, VXML * OS:

Team, I am running Samba version 2.0.7 on an AIX server 4.3.3 . I am planning to upgrade samba version to 2.2.8a. But , I have this problem with Wins Registration . We have a Wins server running in Windows NT . For some odd reason , My unix server doesnot dynamically register itself in the WINS server . It gets TOMBSTONED every 30 days and I have to have an static entry in my WINS

Dear R users, Being a R-novice using version 1.7.0 I have not managed to solve the following problem, so I turn to you: I have 12 pairs nonlinear curves having some parameters (p1,p2,p3) in common and others specific to one of the curves (p4a,p4b). I want to fit a nonlinear mixed model with nmle with the random effects varying over the 12 samples (pairs). In order to be able to estimate the

I am trying to use lm for a simple linear fit with weights. The results I get from IDL (which I am more familiar with) seem correct and intuitive, but the "lm" function in R gives outputs that seem strange to me. Unweighted case: > x<-1:4 > y<-(1:4)^2 > summary(lm(y~x)) Call: lm(formula = y ~ x) Residuals: 1 2 3 4 1 -1 -1 1 Coefficients:

--l4Siqd0eqV Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit Hello, I run the following job. Please, compare the results of summary and table concerning berufl. From similar SPSS/PSPP runs, the result of table is correct. Did I misunderstand anything or is there a bug? What does the difference come from? What does '(other)' mean? What about the strange

Dear Group, I am using the ecdf function as follows: cawa.cdp <- ecdf(cawaocc$LEFF80) summary(cawa.cdp) Empirical CDF: 223 unique values with summary Min. 1st Qu. Median Mean 3rd Qu. Max. 0.07918 1.35700 1.68600 1.61000 1.91200 2.70000 I can see by the summary that the y-value for the 3rd quartile is 1.912. How can I obtain the x-value for a specified y-value (e.g., 0.8)?

Hello all R-users _question 1_ I need to make a statistical model and respective ANOVA table but I get distinct results for the T-test (in summary(lm.object) function) and the F-test (in anova(lm.object) ) shouldn't this two approach give me the same result, i.e to indicate the same significants terms in both tests??????? obs. The system has two restrictions: 1) sum( x_i ) = 1 2) sum(

Hi all, I would like to draw a side by side bar plot.  How can I adjust the the font size for the x-axis?  Furthermore, I'm not sure what to write for 'at=?'.  I tried cex.axis and cex.lab but still fail.  Here is my data and code:   > t(all)            0-100 100-150  150-200 200-250 250-300 300-350 350-400 400-620 obs_data 382.000 177.000 156.0000    93.0 69.0000  45.000

Dear All I want to arrange our output in 3 columns in R. Example: N 04320 03010 00514 00604 00563 03430 03022 V 22.000000 0.000000e+00 15.0000000 15.0000 13.0000 1.300000e+01 51.0000000 p 0.640625 2.910383e-11 0.4257812 0.4375 0.6875 3.356934e-04 0.2434998 N 03060 04140 03050 00562 00565 V 20.0000000 62.00000000 273.0000000

Hello, This is an urgent request. I want to convert a list of 3 elements into a matrix and I am not sure how to do it. The list looks like this: List of 3 $ : num [1:15364, 1] 0.133 0.622 0.588 1.024 0.583 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:15364] "6420681" "3610072" "2260458" "60689" ... .. ..$ : NULL $ :

Hi I have a question regarding an output of a binomial lmer-model. The model is as follows: lmer(y~diet * day * female + (day|female),family=binomial) The corresponding output is: Generalized linear mixed model fit by the Laplace approximation Formula: y ~ diet * day * female + (day | female) AIC BIC logLik deviance 1084 1136 -531.1 1062 Random effects: Groups Name Variance

I haven't been able to find any help on this and am really struggling. I've been using RODBC 1.1-3 and R(D)COM v1.35 for a little over a year successfully with my Access Database, and now im switching to Oracle 9i. I use R 2.0.1 on a Windows XP platform, 1GB ram, 2GHz Intel Processor) When I connect through the Rgui R console, the connection is successful (but through VB the attempt

hi, I tried to build libshout 2.2.2 in my pc using cygwin. /.configure produce the messages below. Anyone knows how to fix it. Thanks /james --------------------------------------- checking winsock2.h usability... no checking winsock2.h presence... yes configure: WARNING: winsock2.h: present but cannot be compiled configure: WARNING: winsock2.h: check for missing prerequisite headers?

Hi all, I have a very easy questions (I hope). I had measure a property of plants, growing in three different substrates (A, B and C). The rest of the conditions remained constant. There was very high variation on the results. I want to do address, whether there is any difference in the response (my measurement) from substrate to substrate?

Having spent the last few weeks trying to decipher R, I feel I may finally be getting somewhere, but i'M still in need of some advice and all my tutors seem to be on holiday! Basically a bit of background, I have data collected on a population of Lizards which includes age,sex, and body condition. I collected data myself this year and I have data previously collected from 1999, 2002 and

Hello all! I have a problem to extract values greater that for example 1820. I try this code: x[x[,1]>1820,]->x1 Please help me! Thank you! The data structure is: structure(c(2.576, 1.728, 3.434, 2.187, 1.928, 1.886, 1.2425, 1.23, 1.075, 1.1785, 1.186, 1.165, 1.732, 1.517, 1.4095, 1.074, 1.618, 1.677, 1.845, 1.594, 1.6655, 1.1605, 1.425, 1.099, 1.007, 1.1795, 1.3855, 1.4065, 1.138, 1.514,

Dear All, I would be very appreciative of your help with the following 1). I am running multivariate multiple regression through the manova() function (kindly suggested by Professor Venables) and getting two different answers for test=c("Wilks","Roy","Pillai") and tests=c("Wilks","Roy",'"Pillai") as shown below. In the