Re: [R] > Understanding strip.default & strip.custom

It's a vector of **length** 1, not **value** 1. In your case it gives the index (1 to 12) of the level being drawn in the panel, which is used to draw the strip according to other strip parameters, esp. style. You seem to be making this way more difficult than you should. strip.default is the

[R] Turning a variable name into a function argument

I’m inexperience but am trying to get my head around using functions to make a number of ggplots easier to do. I have a function that creates a ggplot taking one input variable as an argument. The variable name is shorthand for the actual variable (variable name = tue, Actual name =

Re: [R] performance of do.call("rbind")

Sarah, you make it sound as though everyone should be using matrices, even though they have distinct disadvantages for many types of analysis. You are right that rbind on data frames is slow, but dplyr::bind_rows handles data frames almost as fast as your rbind-ing matrices solution. And if

[R] > Understanding strip.default & strip.custom

I'm having difficulty following the help for those functions. My plot has a single conditioning factor with 12 levels. My factor.levels in a call to strip.default looks like this: factor.levels = expression(Needles~ "::"~alpha -pinene, Stems~ "::"~alpha -pinene,

Re: [R] What's box() (exactly) doing?

On Mon, Jun 27, 2016 at 5:42 PM, Greg Snow <538...@gmail.com> wrote: > You can use the grconvertX and grconvertY functions to find the > coordinates (in user coordinates to pass to rect) of the figure region > (or other regions). > > Probably something like: > grconvertX(c(0,1), from='nfc',

[R] Call subroutine init_random_seed () in R

I want to call the subroutine init_random_seed() in R. The subroutine is defined as an example in the following link. https://gcc.gnu.org/onlinedocs/gfortran/RANDOM_005fSEED.html subroutine init_random_seed() use iso_fortran_env, only: int64 implicit none integer,

Re: [R] What's box() (exactly) doing?

You can use the grconvertX and grconvertY functions to find the coordinates (in user coordinates to pass to rect) of the figure region (or other regions). Probably something like: grconvertX(c(0,1), from='nfc', to='user') grconvertY(c(0,1), from='nfc', to='user') On Fri, Jun 24, 2016 at 8:19

Re: [R] performance of do.call("rbind")

Hi, Note that if your list of 200k data frames is the result of splitting a big data frame, then trying to rbind the result of the split is equivalent to reordering the orginal big data frame. More precisely, do.call(rbind, unname(split(df, f))) is equivalent to df[order(f), , drop=FALSE]

Re: [R] performance of do.call("rbind")

That's not what I said, though, and it's not necessarily true. Growing an object within a loop _is_ a slow process, but that's not the problem here. The problem is using data frames instead of matrices. The need to manage column classes is very costly. Converting to matrices will almost always be

Re: [R] performance of do.call("rbind")

Hi, Just to add my tuppence, which might not even be worth that these days... I found the following blog post from 2013, which is likely dated to some extent, but provided some benchmarks for a few methods: http://rcrastinate.blogspot.com/2013/05/the-rbinding-race-for-vs-docall-vs.html

Re: [R] performance of do.call("rbind")

Your description of the data frames as "approx" puts the solution to considerable difficulty and speed penalty. If you want better performance you need a better handle on the data you are working with. For example, if you knew that every data frame had exactly three columns named identically

Re: [R] performance of do.call("rbind")

Hi Bert, You are most likely right. I just thought that do.call("rbind", is somehow more clever and allocates the memory up front. My error. After more searching I did find rbind.fill from plyr which seems to do the job (it computes the size of the result data.frame and allocates it first). best

Re: [R] performance of do.call("rbind")

There is a substantial overhead in rbind.dataframe() because of the need to check the column types. Converting to matrix makes a huge difference in speed, but be careful of type coercion. testdf <- data.frame(matrix(runif(300), nrow=100, ncol=3)) testdf.list <- lapply(1:1, function(x)testdf)

Re: [R] performance of do.call("rbind")

The following might be nonsense, as I have no understanding of R internals; but "Growing" structures in R by iteratively adding new pieces is often warned to be inefficient when the number of iterations is large, and your rbind() invocation might fall under this rubric. If so, you might try

[R] refclasses question - Defining accessor function

Are accessors a fancy feature that do not work? I wanted to use accessor functions in a R refclass to hide the classes implementation where I am using sqlite. What I did observe is, that if I access in a method any of the fields (in the example below field .data in method printExample) all the

[R] performance of do.call("rbind")

I have a list (variable name data.list) with approx 200k data.frames with dim(data.frame) approx 100x3. a call data <-do.call("rbind", data.list) does not complete - run time is prohibitive (I killed the rsession after 5 minutes). I would think that merging data.frame's is a common operation.

Re: [R] API key at start-up

"Assign ... key to a value" defies my understanding of those terms, and includes no context (API is a very vague term). We are not (necessarily) subject area experts in your preferred domain of jargon. Doing things when you start up your session is typically done as described in ?Startup --

Re: [R] Fwd: Fwd: RE: Heatmap.2 Breaks argument

Please use Reply-All to keep the mailing list included in the conversation. I don't do private consulting via the Internet, and others can correct me if I give bad advice. I doubt the maintaner function "doesn't work"... more likely you did not read the help file to learn how to use it:

[R] API key at start-up

All, Is there a way to assign an API key to a value FREDAPI which is loaded and available once a R session is has started? Glenn __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE

Re: [R] Antwort: RE: Antwort: Fw: Re: Subscripting problem with is.na()

Hi On top of what Duncan wrote you can check results yourself > str(iris[,"Sepal.Length"]) num [1:150] 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ... here you get vector and data.frame class is lost. The result is same as > str(iris$Sepal.Length) num [1:150] 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...

Re: [R] object 'add.expr' not found

On 27/06/2016 3:52 AM, Christian Hoffmann wrote: Since the change to R-3.2.1 I seem to be unable to compile and install my package cwhmisc. One evidence is the appearance of th messages in R CMD build and install: * installing *source* package 'cwhmisc' ... ** R ** inst ** preparing package for

[R] object 'add.expr' not found

Since the change to R-3.2.1 I seem to be unable to compile and install my package cwhmisc. One evidence is the appearance of th messages in R CMD build and install: * installing *source* package 'cwhmisc' ... ** R ** inst ** preparing package for lazy loading Error in eval(expr, envir, enclos)

[R] Antwort: RE: Antwort: Fw: Re: Subscripting problem with is.na()

Hi All, Petr, Bert, David, Ivan, Duncan and Rui helped me to develop a function able to replace NA's in variables IF NEEDED: #--- # Module: t_replace_na.R # Author: Georg Maubach # Date :

Re: [R] Antwort: RE: Antwort: Fw: Re: Subscripting problem with is.na()

On 27/06/2016 7:43 AM, g.maub...@weinwolf.de wrote: Hi Petr, many thanks for your reply and the examples. My subscripting problems drive me nuts. I have understood that dataset[variable] is semantically identical to dataset[, variable] cause dataset[variable] takes all cases because no other

[R] Antwort: RE: Antwort: Fw: Re: Subscripting problem with is.na()

Hi Petr, many thanks for your reply and the examples. My subscripting problems drive me nuts. I have understood that dataset[variable] is semantically identical to dataset[, variable] cause dataset[variable] takes all cases because no other subscripts are given. Where can I lookup the rules

Re: [R] Antwort: Fw: Re: Subscripting problem with is.na()

Hi see in line > -Original Message- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of > g.maub...@weinwolf.de > Sent: Monday, June 27, 2016 10:45 AM > To: David L Carlson ; Bert Gunter > > Cc: r-help@r-project.org > Subject: [R]

[R] Antwort: Fw: Re: Subscripting problem with is.na()

Hi David, Hi Bert, many thanks for the valuable discussion on NA in R (please see extract below). I follow your arguments leaving NA as they are for most of the time. In special occasions however I want to replace the NA with another value. To preserve the newly acquired knowledge for me I

Re: [R] Right input mechanism to R for high amount of data

Hi have you read something of these? http://www.r-bloggers.com/five-ways-to-handle-big-data-in-r/ https://en.wikipedia.org/wiki/Programming_with_Big_Data_in_R http://r-pbd.org/ http://www.columbia.edu/~sjm2186/EPIC_R/EPIC_R_BigData.pdf I am not an expert in big data, however when reading your

[R] Right input mechanism to R for high amount of data

Hi All, I am currently loading 3B (20GB) events in my algorithm for processing. I am reading this data from postgresXL DB cluster (1 coordinator+4 datanodes (8cpu 61GB 200GB machines each)) total 1TB of space. The whole data loading is taking too much time almost 5days before I can start

Re: [R] function for over dispersed poisson regression in the setting of a random effects model

Hi John, The Gamlss.mx package can accommodate variables that follow negative binomial (and other) distributions in multilevel models. Mark > On Jun 25, 2016, at 11:00 PM, John Sorkin wrote: > > Is there a function that will run a model