similar to: Missing functions

Hi all, I am trying to load the doBy package, and I am getting the following error: > library(doBy) Error in loadNamespace(i[[1L]], c(lib.loc, .libPaths())) : there is no package called 'Hmisc' Error: package/namespace load failed for 'doBy' I tried updating R to the current version (2.9.2) and installing the most recent version of the doBy package (4.0.2), and the error

I tried Tal's suggestion of deleting the doBy and coin packages and then reinstalling them from a different mirror. The first install was from the Harvard mirror and the second was from the Case Western Univ. mirror. The new packages generate the same errors when I call them using the library() command. Also, I tried to load these packages using R and its script editor thinking that the

Good Evening R-Help Community: I have attached a file that contains the output from sessionInfo() and a summary of my Win XP system. I am?running R 2.12.0 and using Tinn-R 2.3.6.2 as my interface. When I attempt to call either the doBy or coin packages R generates an error that I do not understand and have so far not been able to resolve by searching R resources. I exchanged a couple of

I installed R 2.11.0, and I don't think I can load the doBy package now. Any suggestions? > library("doBy") Loading required package: survival Loading required package: splines Error in loadNamespace(i[[1L]], c(lib.loc, .libPaths())) : there is no package called 'Hmisc' Error: package/namespace load failed for 'doBy' > sessionInfo() R version 2.11.0

Dear Ruser's I want to substitute each "NA" by the group mean of which the "NA" is belonging to. For example, substitute the first record of traits "NA" by the mean of "BSPy01-10" in the dummy dataframe. I have ever tried to solve this problem by using doBy package. But, I failed. I ask for the advice on how to use "lapplyBy" function of

Dear Ruser's I ask for helps on how to substitute missing values (NAs) by mean of the group it is belonging to. my dummy dataframe is: > df group traits 1 BSPy01-10 NA 2 BSPy01-10 7.3 3 BSPy01-10 7.3 4 BSPy01-11 5.3 5 BSPy01-11 5.4 6 BSPy01-11 5.6 7 BSPy01-11 NA 8 BSPy01-11 NA 9 BSPy01-11 4.8 10 BSPy01-12 8.1 11 BSPy01-12 6.0 12

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]

Dear users, I'm trying to learn how to use the "...". I have written a function (simplified here) that uses doBy::summaryBy(): # 'dat' is a data.frame from which the aggregation is computed # 'vec_cat' is a integer vector defining which columns of the data.frame should be use on the right side of the formula # 'stat_fun' is the function that will be run to

On Mon, Oct 30, 2017 at 10:56 AM Tony Schreiner <anthony.schreiner at bc.edu> wrote: > On Mon, Oct 30, 2017 at 10:27 AM, Larry Martell <larry.martell at gmail.com> > wrote: > > > I have a R script that I am running from python with rpy2. On a debian > > system I run this: > > > > apt-get install R-cran-ggplot2 R-cran-caret > > > > And the

I have a R script that I am running from python with rpy2. On a debian system I run this: apt-get install R-cran-ggplot2 R-cran-caret And the script works. I want to move this to CentOS 7 system. There it cannot find R-cran-ggplot2 or R-cran-caret. Does anyone know what packages in CentOS 7 I need for dplyr, doBy, and ggplot2?

Dear R, I've got a data frame with children examined multiple times and at various ages. I'm trying to find the first age at which another variable (LDL-Cholesterol) is >= 130 mg/dL; for some children, this may never happen. I can do this with transformBy and ddply, but with 10,000 different children, these functions take some time on my PCs - is there a faster way to do this in R?

Dear R-helpers, I don't see a difference between the following two plots of effect objects, which I understand should be different. What am I missing? require(doBy) require(effects) data(budworm) m1 <- glm(ndead/20 ~ sex + log(dose), data=budworm, weight=ntotal, family=binomial) m1.eff <- all.effects(m1) plot(m1.eff, rescale.axis = FALSE, selection = 2, main = 'rescale =

Every time I try to install the doBy package I receive this error message: Warning in install.packages : error 1 in extracting from zip file Warning in install.packages : cannot open compressed file 'mvtnorm/DESCRIPTION', probable reason 'No such file or directory' Error in install.packages : cannot open the connection Has anyone run into this problem? Thanks, Jason --

Hello, How can I fix this? I have the latest version of R 2.13.2 and I use Mac OS X 10.7.2 > library(doBy) Loading required package: lme4 Error in dyn.load(file, DLLpath = DLLpath, ...) : function 'cholmod_l_start' not provided by package 'Matrix' Error: package 'lme4' could not be loaded > library(lme4) Error in dyn.load(file, DLLpath = DLLpath, ...) : function

Hello all R users, I have a problems transforming (or maybe better regrouping) a data.frame. I have a big data.frame, which I would like to sum up according to a specific column. This is an example of my matrix: ID gen 0042787 gen2 0016070 gen2 0016070 gen3 0007409 Gen1 0007409 gen3 0006511 gen2 0006417 gen3 0016070 gen4 0006511 gen4 I want to rearrange the matrix

Hi Folks, I'm trying to cut my data inside the summaryBy function. Perhaps formulas don't work that way? I'd like to avoid adding another column if possible, but if I have to, I have to. Any ideas? Thanks, Allie require(doBy) df = dataframe(a <- rnorm(100), b <-rnorm(100)) summaryBy(a ~ cut(b,c(-100,-1,1,100)), data=df) # preferred solution, but it throws an

Full_Name: Marc Paterno Version: 2.9.2 OS: Mac OS X 10.5.8 Submission from: (NULL) (99.53.212.55) summaryBy() produces incorrect results when given some data frames. Below is a transcript of a session showing the result, in a data frame with 2 observations of 2 variables. ------------------- thomas:999 paterno$ R --vanilla R version 2.9.2 (2009-08-24) Copyright (C) 2009 The R Foundation for

Wow.. thanks for the deluge of responses! Aggregate seems like the way to go here. But, suppose that instead of integers in column V2, I actually have dates (and instead of keeping the minimum integer, I want to keep the earliest date): > df =

Hello Everyone- I'm calculating summary statistics on a dataset (~4000 records, observations are not uniformly distributed) using summaryBy and trying to add a column with the number of observations to the output as well. What occurs to me is to use nrow(), but this doesn't appear to be working I'm able to replicate the same results with an example from the summaryBy docs:

I have a R script that I call from python using rpy2. It uses dplyr, doBy, and ggplot2. The script has install.packages commands for these 3 packages. Even thought the packages are already installed it still downloads, builds, and installs them, which is very time consuming. Is there a way to have it only do the install if the package is not already installed? Also, I run in a docker container,