search for: reprexes

...em to change the HTML rendering of text returned by Rd macros, in that now empty lines do not cause paragraphs to end (the empty lines are kept but <p> tags are not set). As a result, multiple paragraphs are output as a single one. A complete example Rd file is at: https://github.com/GeoBosh/reprexes/blob/master/disappearingParagraphs/a.Rd rendered (2018-10-28) with R-devel: https://github.com/GeoBosh/reprexes/blob/master/disappearingParagraphs/a.html and R-3.5.1patched: https://github.com/GeoBosh/reprexes/blob/master/disappearingParagraphs/a351.html The exact system information used for r...

Dear Colleagues, I recently answered [this question]() on StackOverflow that identified what seems to be unusual behaviour with `stats:::nls.fitted()`. In particular, a null model returns a single fitted value rather than a vector of the same fitted value of `length(y)`. The documentation doesn?t make it seem like this is the intended behaviour, so I?m not sure if it?s a bug, a ?Wishlist?

Hi, Firstly, apologies as I have posted this on community.rstudio.com too. I want to optimise a Box-Cox transformation on columns of a matrix (ie, a unique lambda for each column). So I wrote a function that includes the call to MASS::boxcox in order that it can be applied to each column easily. Except that I'm getting an error when calling the function. If I just extract a column of the

Try this for your function: BoxCoxLambda <- function(z){ y <- z b <- boxcox(y + 1 ~ 1,lambda = seq(-5, 5, length.out = 61), plotit = FALSE) b$x[which.max(b$y)] # best lambda } ***I think*** (corrections and clarification strongly welcomed!) that `~` (the formula function) is looking for 'z' in the GlobalEnv, the caller of apply(), and not finding it. It finds

Doesn't nls() expect that the lengths of vectors on both sides of the formula match (if both are supplied)? Perhaps it should check for that. -Bill On Thu, Jan 26, 2023 at 12:17 AM Dave Armstrong <darmst46 at uwo.ca> wrote: > Dear Colleagues, > > I recently answered [this question]() on StackOverflow that identified > what seems to be unusual behaviour with

No sé muy bien, Carlos, como hacerlo, pero no parece más sencillo que lo de multiplicar por 2 los positivos y después editar el mapa. De lo que decías, Emilio, de cambiar el color del punto central creo que haría más confusa la interpretación. El vie., 20 sept. 2019 a las 10:33, Carlos Ortega (<cof en qualityexcellence.es>) escribió: > Hola, > > Una alternativa que suele

Gracias Emilio. Si, son asimétricos porque se mueven en rangos distintos. De hecho, miden cosas distintas, pero una muestra no puede ser positiva y negativa a la vez. Me planteo multiplicar las positivas por 2 y al editar el mapa corregirlo para que indique los valores reales. Eso funcionaría, pero son muchos mapas y quizás haya una función en ggplot que evite el problema directamente. Manuel El

On Tue, Oct 13, 2015 at 4:43 PM, Hadley Wickham <h.wickham at gmail.com> wrote: > Seems easy enough to write yourself: > > where <- function(x, env = parent.frame()) { > if (identical(env, emptyenv())) > return(NULL) > if (exists(x, envir = env, inherits = FALSE)) > return(env) > where(x, parent.env(env)) > } > > sample2 <-

Hi all, I am running into problems using `summary.lm` as calling `var` on a `units` object does not retain the `units` attribute. The units package addresses this issue for `mean` by implementing `mean.units`: units:::mean.units function (x, ...) { .as.units(NextMethod(), units(x)) } This is, however, not possible for `var` (as it's not a generic), which breaks `summary.lm`: ```

To David W.'s point about lack of a suitable reprex ("reproducible example"), Bill's solution seems to be for only one station. Here is a reprex and modification that I think does what was requested for multiple stations, again using base R and data frames, not dplyr and tibbles. First the reprex with **two** stations: > d <- data.frame( station =

Muy buenas. Quiero hacer un mapa que me pinte en azul los valores negativos y en rojo los positivos. Los negativos llegan hasta -400 y los positivos hasta 200. Si pongo limits=c(-200, 200), me colorea bien los positivos (rojo), pero los negativos por debajo de -200 me los pone gris. Si pongo limits=c(-400, 200), me colorea bien los negativos (azul), pero los positivos apenas se ven. Necesito que

No, I'm afraid I'm wrong. Something went wrong with my R session and gave me incorrect answers. After restarting, I continued to get the same error as you did with my supposed "fix." So just ignore what I said and sorry for the noise. -- Bert On Sat, Jul 8, 2023 at 8:28?AM Bert Gunter <bgunter.4567 at gmail.com> wrote: > Try this for your function: > >

Hi all, Very surprising (to me!) and mystifying result from predict.glm(): the predictions vary depending on whether or not I use ns() or splines::ns(). Reprex follows: library(splines) set.seed(12345) dat <- data.frame(claim = rbinom(1000, 1, 0.5)) mns <- c(3.4, 3.6) sds <- c(0.24, 0.35) dat$wind <- exp(rnorm(nrow(dat), mean = mns[dat$claim + 1], sd = sds[dat$claim + 1])) dat <-

dplyr may have something for this, but in base R I think the following does what you want. I've shortened the name of your data set to 'd'. i <- rep(seq_len(nrow(d)), d$YEAR_TO-d$YEAR_FROM+1) j <- sequence(d$YEAR_TO-d$YEAR_FROM+1) transform(d[i,], YEAR=YEAR_FROM+j-1, YEAR_FROM=NULL, YEAR_TO=NULL) Bill Dunlap TIBCO Software wdunlap tibco.com On Sat, Nov 25, 2017 at 11:18 AM,

Please always cc the list... the group usually has better answers than any one person, and I don't do private consulting on the net. For future reference, there is also an r-sig-db mailing list where this question really belongs. Since I almost never use jdbc, I would need a reprex (hint you are ignoring my advice... a good way to get ignored), which this still isn't. There is probably

Dear All, Here is a reprex: > x<- 1:100 > x[-which(x>100)] integer(0) In words, I am finding out which indices correspond to values in x which are greater than 100 ( there are no such items ) . Then I remove those indices. I should get back the x that I started with since there are no items in x which are bigger than 100 . Instead, it is returning an empty vector. Why is this ?

I think a simple reproducible example ("reprex") may be necessary for you to get a useful reply. Questions with vague specifications such as yours often result in going round and round with attempts to clarify what you mean without a satisfactory answer. Clarification at the outset with a reprex may save you and others a lot of frustration. Cheers, Bert On Sat, Nov 4, 2023 at 1:41?AM

Bert wrote ... Bill's solution seems to be for only one station. No, it works for any number of stations. Bill Dunlap TIBCO Software wdunlap tibco.com On Sun, Nov 26, 2017 at 11:10 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > To David W.'s point about lack of a suitable reprex ("reproducible > example"), Bill's solution seems to be for only one

Hello, I'm new to R so this is probably a simple question for somebody. I have an RScript that reads a CSV on the disk using read.table(...). It then does a boxM test using that data. However, I'm now trying to load the same data via an SQL command, but I can't seem to get the data structure defined so R will like it -- using the included "iris" dataset. I've tried

Dear Ron and Bert, First (and without considering why one would want to do this, e.g., adding a start of 1 to the data), the following works for me: ------ snip ------ > library(MASS) > BoxCoxLambda <- function(z){ + b <- boxcox(z + 1 ~ 1, + lambda = seq(-5, 5, length.out = 101), + plotit = FALSE) + b$x[which.max(b$y)] + } > mrow <- 500