similar to: issue loading doBy library

I suddenly started getting the error message below. Not sure why.? If I type intalled.packages() it shows Matrix and lme4 installed.? Can someone tell what's going on and what I need to do to remedy the problem?? I'm running on a Linux box. ? ? ? ? ? ? Loading required package: Matrix Loading required package: lattice Error in dyn.load(file, DLLpath = DLLpath, ...) : ? function

Being rather inept at all things Linux, I paid a consultant to fix some things on my computer,? Unforntately, good help is hard to find.? Here's where I am: ? ... Loading required package: Matrix Loading required package: lattice Error in dyn.load(file, DLLpath = DLLpath, ...) : ? function 'cholmod_l_start' not provided by package 'Matrix' Error: package/namespace load failed

Hello, Suppose I have the dataset shown below. The amount of observations is too massive to get a nice geom_point and smoother on top. What I would like to do is to bin the data first. The data is indexed by Time (minutes from 1 to 120 i.e. two hours of System benchmarking). Option 1) group the data by Time i.e. minute 1, minute 2, etc and within each group create bins of N consecutive

Hello, Can anyone point me to an online tutorial or book containing the easiest way to do ANOVA over the result data from a 2^k*r experiment. It is not clear to me if I can pass the raw data corresponding to each experiment or just the summarized data i.e. mean, sse, std, etc. I would like to get the: - box plot showing the effect for the different factors and levels - plot showing whether there

Hello, I have one replication (r=1 of the 2^k*r) of a 2^k experimental design in the context of performance analysis i.e. my response variables are Throughput and Response Time. I use the "aov" function and the results look ok: > str(throughput) 'data.frame': 286 obs. of 7 variables: $ Time : int 6 7 8 9 10 11 12 13 14 15 ... $ Throughput : int 42 44 33 41

Hello, This is one problem at the time :) I have a data frame df that looks like this: time partitioning_mode workload runtime 1 1 sharding query 607 2 1 sharding query 85 3 1 sharding query 52 4 1 sharding query 79 5 1 sharding query 77 6 1 sharding query 67 7 1

Hello UseRs, I've just tried to load the lme4 package and got the error message, "function 'cholmod_l_start' not provided by package 'Matrix'". I downloaded the latest version of lme4 and its required packages (lattice and Matrix) as suggested in the archives and still got this message. The FAQ and archives suggested to check the R version requirements, but I'm

Hello, I have tried reading the documentation and googling for the answer but reviewing the online matches I end up more confused than before. My problem is apparently simple. I fit a glm model (2^k experiment), and then I would like to predict the response variable (Throughput) for unseen factor levels. When I try to predict I get the following error: > throughput.pred <-

Hello, I have a loop where I iterate performance data files within a folder, parse and plot them in one shot (see below). However, when executing plot_raw which invokes dev.new(..) all windows come out blank whereas if I execute each file outside of a loop then I can see the plots properly. What's wrong here? Thanks in advance, Best regards, Giovanni # given a directory name, it will

Hello, I create a simple ggplot that only shows a straight line. I then add three datasets of CI using the geom_errorbar function. The problem is that I can't find any way to have the legend showing up ... I need to show what each color of the CIs corresponds to i.e. which method. Can anyone advice please? TIA, Best regards, Giovanni

Dear all, after recently updating my R-packages I am unable to work with lme4, since it does not load. What I get is this: Error in inDL(x, as.logical(local), as.logical(now), ...) : function 'cholmod_l_start' not provided by package 'Matrix' In addition: Warning messages: 1: package 'lme4' was built under R version 2.8.1 2: package 'lattice' was built under R

Hello, I have a data frame that looks like this (containing interarrival times): > str(df) 'data.frame': 18233 obs. of 1 variable: $ Interarrival: int 135 806 117 4 14 1 9 104 169 0 ... > head(df) Interarrival 1 135 2 806 3 117 4 4 5 14 6 1 > This corresponds to the time differences (in ms) of a poisson arrival

Hello, I bumped into the following funny use-case. I have too much data for a given plot. I have the following data frame df: > str(df) 'data.frame': 5015 obs. of 5 variables: $ n : Factor w/ 5 levels "1000","2000",..: 1 1 1 1 1 1 1 1 1 1 ... $ iter : int 10 20 30 40 50 60 70 80 90 100 ... $ Error : num 1.05e-02 1.24e-03 3.67e-04 1.08e-04

Hello, I am attending a course in Computational Statistics at ETH and in one of the assignments I am asked to prove that a time series is not autocorrelated using the R function "acf". I tried out the acf function with the given data, according to what I found here: http://landshape.org/enm/options-for-acf-in-r/ this test data does not look IID but rather shows some trends so how can I

Greetings R Community, One of my favorite packages won't load and I'm not sure why. It loaded earlier today. The problem appears with the snow package, which doBy requires. I tried reinstalling both packages again ,shutting [R] down, reinstalling [R] in the workspace (shortcut). Here's the weird thing. The same exact library loads in another workspace using the same version of [R]

Hello, Can anyone provide or point me to a good setup for the listings latex package that would produce nice R-syntax highlighting? I am using an example I found in internet for setting up listings like this: \lstset{ language=R, basicstyle=\scriptsize\ttfamily, commentstyle=\ttfamily\color{gray}, numbers=left, numberstyle=\ttfamily\color{red}\footnotesize, stepnumber=1, numbersep=5pt,

Hello, What would be the best set of R functions to parse and transform a file? My file looks as shown below. I would like to plot this data and I need to parse it into a single data frame that sorts of "transposes the data" with the following structure: > df <- data.frame(n=c(1,1,2,2),iter=c(1,2,1,2),step=as.factor(c('Step 1', 'Step2', 'Step 1',

Hello, I need to plot multiple confidence intervals for the same model parameter e.g. so for the same value of the parameter in point x_1 I would like to see four different confidence intervals so that I can compare the accuracy e.g. boot basic vs normal vs my own vs classic lm CI etc. I like very very much the plotCI implemented here: http://cran.r-project.org/web/packages/plotrix/index.html

Hello all, Using Ubuntu 9.04 and R 2.8.1. For a project I need to use the Zelig package, which in turn wants to use the lme4 package. When trying to use Zelig and it tries to its required packages I get the following error message. Error in dyn.load(file, DLLpath = DLLpath, ...) : function 'cholmod_start' not provided by package 'Matrix' Error in loadModelDeps(model) :

Hello, I used R a lot one year ago and now I am a bit rusty :) I have my raw data which correspond to the list of runtimes per minute (minute "1" "2" "3" in two database modes "sharding" and "query" and two workload types "query" and "refresh") and as a list of char arrays that looks like this: > str(data) List of 122 $ :