similar to: Problems with stepAIC

Hi, On 32-bit Fedora 16, llvm and clang can be worked for OpenCL API and its application. These programs must be cross-compiled for mips-typed linux for our embedded system. Here, I cannot find out any documents to explain how to implement llvm and clang for cross-compiler. Please advise me how to implement llvm and clang. Regards, -Noriko -------------- next part -------------- An HTML

Initial styling for the cloud, added a few images Signed-off-by: Jeremy Perry <jeremy.perry at redhat.com> --- src/app/views/cloud/instance/index.rhtml | 2 +- src/app/views/layouts/cloud/cloud.rhtml | 9 +- src/public/images/mystery_cloud2.png | Bin 0 -> 1984 bytes src/public/images/tab_bg.png | Bin 0 -> 174 bytes src/public/stylesheets/cloud/layout.css |

Hi, I want to remove the entire row from the dataset if any of the row contains blank or NA my dataset look like State Year Y X2 X3 X4 X5 X6 State1 1960 27.8 397.5 42.2 50.7 78.3 65.8 State2 1960 29.9 413.3 38.1 52 79.2 66.9 State1 1961 29.8 439.2 40.3 54 79.2 67.8 State2 1961 30.8 459.7 39.5 79.2 69.6 State1 1962 31.2 492.9 37.3 54.7 77.4 68.7 State2 1962 528.6 38.1 80.2 73.6 State1 1963

Hi I'm performing a PLS This is my data present in a file Year Y X2 X3 X4 X5 X6 1960 27.8 397.5 42.2 50.7 78.3 65.8 1960 29.9 413.3 38.1 52 79.2 66.9 1961 29.8 439.2 40.3 54 79.2 67.8 1961 30.8 459.7 39.5 55.3 79.2 69.6 1962 31.2 492.9 37.3 54.7 77.4 68.7 My R-code Data <- read.csv("C:/TestData.csv") variable=names(Data)[4:8] dataset=NULL dataset$X=NULL len=length(variable)

Hi how do we get intercepts standard error. I'm using the package pls. i got the coefficient but not able to get the stabdard error -- View this message in context: http://r.789695.n4.nabble.com/How-to-get-intecerpt-standard-error-in-PLS-tp3932104p3932104.html Sent from the R help mailing list archive at Nabble.com.

Hi r-users,   I have a data below but I would like to rearrange my data so that it will be in the following format: year, month, day, rain.  I also would like the data to be arranged so that it will be continues for example year 1939 it will go from january 1 to december 31 and continue with year 1940 from january 1st to 31st December and so on.  What I have now is all january for all the years

Hello all. This may be a trivially simple question to answer, but I'm a little bit stumped with respect to the calculation of the F statistics in nested anovas in R. If I understand correctly, the F statistic for the among-subgroups but within groups hypothesis is calculated as MS_subgroups/MS_error, while the F statistic for the factor is calculated as MS_factor/MS_subgroups (I'm

For a medium-sized website, does one machine for database server (either mysql or postgres) and another for the web server (lighttpd) sound ok? How much traffic could I expect to handle? (I know it depends on the application, but some rough estimates would be nice) Joe

Hi Sir I have made a data set having 23 stations of rainfall. when I use the attach function to approach indevidual stations then following error occurr. *>attach(data)* *>S.Sharif #S.Sharif is the station name which has 50 data values* *Error: object "S.Sharif" not found* Now how to solve this problem. Thank You Regards -- AMINA SHAHZADI Department of Statistics GC

Dear all, I am trying to repeat an example from Sokal and Rohlfs "Biometry" -- Box 11.4, example of a randomized-complete-blocks experiment. The data is fairly simple: series genotype weight 1 pp 0.958 1 pb 0.985 1 bb 0.925 2 pp 0.971 2 pb 1.051 2 bb 0.952 3 pp 0.927 3 pb 0.891 3 bb 0.892 4

Hello, dear R-community. This is a question about TukeyHSD between factor combinations of a Three-Way ANOVA, which is - since it is a multi measure ANOVA - not a simple ANOVA but a Generalised Linear Mixed Model (GLMM), calculated with "lmer". > growth <- groupedData(length~meas|box_id,outer=~spec*comp*water,data=all.spec) > model <-

Hi I'm getting the intercepts of the Random effects as 0. Please help me to understand why this is coming Zero This is my R code Data<- read.csv("C:/FE and RE.csv") Formula="Y~X2+X3+X4 + (1|State) + (0+X5|State)" fit=lmer(formula=Formula,data=Data) ranef(fit). My sample Data State Year Y X2 X3 X4 X5 X6 S2 1960 27.8 397.5 42.2 50.7 78.3 65.8 S1 1960 29.9 413.3 38.1

Hi I'm getting the intercepts of the Random effects as 0. Please help me to understand why this is coming Zero This is my R code Data<- read.csv("C:/FE and RE.csv") Formula="Y~X2+X3+X4 + (1|State) + (0+X5|State)" fit=lmer(formula=Formula,data=Data) ranef(fit). My sample Data State Year Y X2 X3 X4 X5 X6 S2 1960 27.8 397.5 42.2 50.7 78.3 65.8 S1 1960 29.9 413.3 38.1

Hi useRs - I was wondering if anyone out there can tell me where to find R-code to do mixes of tables and graphics. I am thinking of something similar to this: http://yost.com/information-design/powerpoint-corrupts/ or like the excel routines people are demonstrating: http://infosthetics.com/archives/2006/08/excel_in_cell_graphing.html My aim is to provide small graphics to illustrate

Dear R users, I have more of a statistical/econometric question than straight R one. I have a data set with the discrete hazard rate of small firms survival on 400 counties over a period of 9 years. This data was generated using census information from the VAT registration number of each one of these business. I would like to analyze the effect of regional factors (deprivation index, real

Hello all, I have two questions regarding nested anova. I've attached a simple example, where a male is mated with 4 females, and the intensity of the colour of the eyes is measured in two offspring from each female. 1) As I understand it, residuals in a nested anova are the difference between an observed value and the predicted value, which is equal to the sample mean for the cell that

Hi R-users,   I would like to transform my data using gamma, my data are ahll, bhall and dp1 as shown below:   > ahall      ah1  ah2  ah3  ah4  ah5  ah6  ah7  ah8  ah9 ah10 ah11 ah12 [1,] 0.9 1.01 1.24 1.85 1.85 2.45 3.67 3.02 3.06 2.33 1.86 0.96   > bhall        bh1   bh2   bh3   bh4  bh5   bh6   bh7   bh8   bh9  bh10  bh11  bh12 [1,] 48.39 44.26 37.34 29.93 33.5 26.54 20.26 25.73 20.14

Dear useRs, i want to split a matrix having 1116rows and 12 columns. i want to split that matrix into 36 small matrices each having 12 columns and 31 rows. The big matrix should be splitted row wise. which means that the first small matrix should copy values which are in first 31 rows and 12 columns of the big matrix. similarly 2nd small matrix should contain values from 32nd to 63rd row of the

Hi, I have a few questions about glht() and the interpretation of output from Tukey's in multcomp package for lme() model. The main issue is that I noticed that a plot that I produced with code letters seem to contradict the graph itself. I provide data and code below. I end with my questions. A few things about data set. "LMA.vcp" is continuous response variable.

Good evening, I just tried following the steps in "Tip: Creating throwaway appliances with febootstrap"[1] on my workstation at home running Debian/unstable. I ran into problems: ,---- | $ mkdir supermin.d | $ febootstrap --names 'bash' 'coreutils' -o supermin.d | Get: 1 http://ftp.de.debian.org/debian/ sid/main bash amd64 4.1-3 [1325 kB] | Get: 2