similar to: database table merging tips with R

Dear List, I have a wrapper function that draws a graph that I'd like to use in a vector-like manner. The for-loop version I currently use is below. library(ggplot2) data(economics) h <- 600 w <- 800 #---------------------------------------------------------- draw_metric_by_date <- function( df, i, smooth=FALSE, BASEPATH ) { mlabel <- names(df)[i] qmetric

A few questions about maps... (1) How can I find a listing of the internal data sets that map() from the maps library contains? For example, "usa", "county", "state", "nz" all work. Are there any others? (2) Is there an easier, more generalized way to produce this (http://www.ai.rug.nl/~hedderik/R/US2004/ ) type of plot than this

Dear R community, I find R fantastic and use R whenever I can for my data analytic needs. Certain data sets, however, are so large that other tools seem to be needed to pre-process data such that it can be brought into R for further analysis. Questions I have for the many expert contributors on this list are: 1. How do others handle situations of large data sets (gigabytes, terabytes)

Hive <http://hadoop.apache.org/hive/> is a data warehouse infrastructure built on top of Hadoop that provides tools to enable easy data summarization, adhoc querying and analysis of large datasets data stored in Hadoop files. It provides a mechanism to put structure on this data and it also provides a simple query language called QL which is based on SQL and which enables users familiar with

Hello, I have read through the manuals and can't seem to find an answer. I have a categorical, character variable that has hundreds of values. I want to group the existing values of this variable into a new, derived (categorical) variable by applying conditions to the values in the data. For example, suppose I have a data frame with variables: date, country, x, y, and z. x,y,z are

There's got to be a better way to use order() on a matrix than this: > y 2L-035-3 2L-081-23 2L-143-18 2L-189-1 2R-008-5 2R-068-15 3L-113-4 3L-173-2 398 1 1 2 2 1 1 2 2 857 1 1 2 2 1 2 2 2 911 1 1 2 2 1 2 2 2 383 1 1

I have been trying to use R to gather some information from parsed log files (as part of examining some performance issues). I parsed the log files and put the data into an SQLite database, and then used RSQLite to load the data into R. The fields of interest are controller, action and total_time: controller and action have string values; total_time has a decimal value. I first did the

Has anyone had success with producing legends to a qplot graph such that the legend is placed on the bottom, under the abcissa rather than to the right hand side ? The following doesn't move the legend: library(ggplot2) qplot(mpg, wt, data=mtcars, colour=cyl, gpar(legend.position="bottom") ) I am using ggplot2_0.8.2. Thanks in advance, Avram

I have a fairly large model: > length(Y) [1] 3051 > dim(covariates) [1] 3051 211 All of these 211 covariates need to be nested hierarchically within a grouping "class", of which there are 8. I have an accessory vector, " cov2class" that specifies the mapping between covariates and the 8 classes. Now, I understand I can break all this information up into individual

Dear All, I want to generate survival curve with cox model but I want to estimate the coefficients using glmnet. However, I also want to include a strata() term in the model. Could anyone please tell me how to have this strata() effect in the model in glmnet? I tried converting a formula with strata() to a design matrix and feeding to glmnet, but glmnet just treats the strata() term with one

I am trying to push some view logic into a helper. The thought is that this is a step towards having the business logic in the helper rather than the view. However, I''m essentially wrapping the checks around an eventual call to date_select(). The problem I''m having is that the application complains that it doesn''t know about date_select(). I''m sure (or

I tend to allow nulls in cases where the value is unknown, even if it''s a text/varchar field. RoR seems to push empty strings into these fields. Is there any way to get RoR to use NULL vice '''' if the input box is empty? Thanks! - Ian

On 3 Oct 2018, at 14.09, Berindeie Avram-Teodor <berindeie.teo at gmail.com> wrote: > > > > I do not have downloaded the source from GitHub. The patch modifies configure.ac, so unless you run autogen.sh the configure script isn't modified and that patch doesn't work. Or as an alternative you could simply manually append to config.h: #define HAVE_CRYPT_H > >

I applied the patch and recompiled but nothing resolved. What else can I do? -------------- next part -------------- An HTML attachment was scrubbed... URL: <https://dovecot.org/pipermail/dovecot/attachments/20181003/17af6a17/attachment.html>

On Wed, Oct 03, 2018 at 03:47:11PM +0300, Berindeie Avram-Teodor <berindeie.teo at gmail.com> wrote: > On Wed, Oct 3, 2018 at 2:44 PM Timo Sirainen <tss at iki.fi> wrote: > > On 3 Oct 2018, at 14.09, Berindeie Avram-Teodor <berindeie.teo at gmail.com> > > wrote: > >> On Wed, Oct 3, 2018 at 1:53 PM Timo Sirainen <tss at iki.fi> wrote: >

There are numerous tools like scons, make, ruffus, ant, rake, etc. that can be used to build complex pipelines based on task dependencies. These tools are written in a variety of languages, but I have not seen such a thing for R. Is anyone aware of a package available? The goal is to be able to develop robust bioinformatic pipelines driven by scripts written in R. Thanks, Sean

Hi, In support of reproducible research at my Institute, I seek an approach to re-creating the R environments in which an analysis has been conducted. By which I mean, the exact version of R and the exact version of all packages used in a particular R session. I am seeking comments/criticism of this as a goal, and of the following outline of an approach: === When all the steps to an workflow

I could use some help generating a time series for the Mackey-Glass equation: dx/dt = 0.2 x(t-tau)/(1 + x(t-tau)^10) - 0.1 x(t) for the case there tau = 17. I tried the "ddesolve" package but the dde(...) function seems to hang, not producing anything. Can someone show me the R script how to do this? - Mike Beddo [[alternative HTML version deleted]]

I have a 47k x 47k adjacency matrix that is very sparse (at most 30 entries per row); my textual representation therefore is simply an adjacency list of connections between nodes for each row, e.g. node connections A B C D E B A C D C A E D A E A F F E G H I'd like to import this into a dataframe of node/connection (character/vector-of-characters) pairs. I've experimented with

I've posted a message twice to this list, and never seen it appear yet ... perhaps this one will go through ... ? -- Aaron J. Mackey, Ph.D. Dept. of Biology, Goddard 212 University of Pennsylvania email: amackey at pcbi.upenn.edu 415 S. University Avenue office: 215-898-1205 Philadelphia, PA 19104-6017 fax: 215-746-6697