similar to: Massive Update to Hmisc package

Several updates have been made to the Hmisc package: Changes in version 3.16-0 (2015-04-25) * html.contents.data.frame: corrected html space character to add semicolon * ggplot.summaryP: added size of points according to denominators * colorFacet: new function * labelPlotmath: added chexpr argument (used by rms::ggplot.Predict) * rcsplineFunction: added

Several updates have been made to the Hmisc package: Changes in version 3.16-0 (2015-04-25) * html.contents.data.frame: corrected html space character to add semicolon * ggplot.summaryP: added size of points according to denominators * colorFacet: new function * labelPlotmath: added chexpr argument (used by rms::ggplot.Predict) * rcsplineFunction: added

A major new version of the rms package is now on CRAN. The most user-visible changes are: - interactive plotly graphic methods for model fits. The best example of this is survplot for npsurv (Kaplan-Meier) estimates where the number of risk pop up as you hover over the curves, and you can click to bring up confidence bands for differences in survival curves - html methods for model fit

A major new version of the rms package is now on CRAN. The most user-visible changes are: - interactive plotly graphic methods for model fits. The best example of this is survplot for npsurv (Kaplan-Meier) estimates where the number of risk pop up as you hover over the curves, and you can click to bring up confidence bands for differences in survival curves - html methods for model fit

Colleagues, Here is my reproducible code. library(plotly) t <- list( ? family = "Arial", ? size = 12, ? color = "black", ? face="bold") t3 <- list( ? family = "Arial", ? size = 12, ? color = "black", ? face="bold") t5 <- list( ? family = "Arial", ? size = 12, ? color = "black", ? face="bold")

*Paid internship "web application development with R"* The main skills for this proposed paid internship are: R, Shiny, and components used by Shiny (plotly, javascript). Other skills (Debian, Docker, CKAN...) are useful. This internship offer is part of a partnership between the Grenoble Alpes Cybersecurity Institute and the CYBIS project. The *Cybersecurity Institute* aims to

plotly is _not_ associated with posit. I think you are unlikely to find expertise with plotly in their forums. You might find help at stackoverflow.com. On July 21, 2023 1:40:49 PM PDT, Bert Gunter <bgunter.4567 at gmail.com> wrote: >As you apparently haven't received any responses yet, I'll try to >suggest something useful. However, I have absolutely zero experience >with

Hola, cuando ejecuto Rmarkdown los gráficos plotly no salen. No hay ningún error pero en el resultado final no se obtiene nada. Si ejecuto plotly desde R los gráficos primero salen en blanco y es necesario "recargar" para poderlo ver, si lo inspeccionas no sale nada. El equipo en el que me pasa esto es: platform x86_64-w64-mingw32 arch x86_64 os mingw32

Hi Dirk, I didn't capture the output but using Focal I got an error with RcppParallel trying to open a file that wasn't found, and plotly::ggplot() would not render a ggplot graph. 20.10 is working well for me otherwise. Frank http://fharrell.com http://biostat.mc.vanderbilt.edu/FrankHarrell Twitter: @f2harrell ---- On Sun, 25 Oct 2020 11:52:43 -0500

ChatGPT-4: ------ Query: ---------------------------------- Thank you. The `value` in the code example is 2874. The plot shows a large number at the center and a smaller value computed as a delta relative to the `reference` of 4800. But the large value is given as 2870, and the smaller value is given as -1930 i.e. both values are rounded. Can I control the precision of these two numbers?

Hi Alex, this should be related to the "las" argument of "par()" but actually it does not seem to be parametered in scatterplot3d. Searching the net for "scatterplot3d las" provides a link to: https://stackoverflow.com/questions/25458652/specifying-the-orientation-of-the-axes-labels-in-scatterplot3d You may try the solution that is provided in this link or consider

> On Oct 31, 2017, at 8:55 AM, Olivier Crouzet <olivier.crouzet at univ-nantes.fr> wrote: > > Hi Alex, > > this should be related to the "las" argument of "par()" but > actually it does not seem to be parametered in scatterplot3d. > Searching the net for "scatterplot3d las" provides a link to: > >

Hi Dirk, One side observation: r-cran debian now seems to be in Ubuntu 20.10 Universe so I don't need to add the repo any more. Here is a reproducible example that fails with the latest r-cran-rcppparallel but works when I manually install the source package: require(rstan) stancode <- 'data {real y_mean;} parameters {real y;} model {y ~ normal(y_mean,1);}' mod <-

I made the mistake of updating to Ubuntu 20.10 from 20.04 before before debian repo supports 20.10.? This broke RcppParallel and plotly.? Any idea with 20.10 will be available for r-cran-* debian packages? Thanks Frank http://fharrell.com http://biostat.mc.vanderbilt.edu/FrankHarrell Twitter: @f2harrell

Hello, David, don?t worry about answering this question or any of my inquiries in the future. Not looking for code servants. Definitely not an expert at using the scatter plot 3D library. That being said, I plan on researching rgl as was recommended so kindly on a previous response to my question. Regards, Alex On Oct 31, 2017, at 4:13 PM, David Winsemius <dwinsemius at

Hmisc Version 3.3-2 has been posted to the CRAN repository. Change Log 3.3-2 4/26/2007 Fixed bug with combine<- function not handling NULL values. 3.3-1 3/29/2007 Created functions trunc.POSIXt, ceil.POSIXt, round.POSIXt to do those ops on POSIXt objects. Removed chron versions of these functions. Placed Hmisc in a namespace Factored out category

Hmisc Version 3.3-2 has been posted to the CRAN repository. Change Log 3.3-2 4/26/2007 Fixed bug with combine<- function not handling NULL values. 3.3-1 3/29/2007 Created functions trunc.POSIXt, ceil.POSIXt, round.POSIXt to do those ops on POSIXt objects. Removed chron versions of these functions. Placed Hmisc in a namespace Factored out category

Dear all May I know how to solve this problem? I have encountered this problem after I have logged out from Rstudio. Thank you Warning: namespace ?caret? is not available and has been replaced by .GlobalEnv when processing object ?fit.ann? Warning: namespace ?ggplot2? is not available and has been replaced by .GlobalEnv when processing object ?p1? Warning: namespace ?plotly? is not available and

You haven't given much context, but these error message can come from load() when loading a *.RData file that contains objects reference packages not installed in the current installation of R. When R starts it will load a ".RData" file if one exists, this file is typically created when R shuts down and you ask it to save the current session. If you recently upgraded R you the

Hola. Tengo 4 gráficos: a <- qqnorm(total$ImpTotal) #con lattice y b, c y d son variaciones de este tipo?, creados con ggplot2: ?b <- g <- ggplot(data = total, aes(x=ImpTotal, fill=Convenio)) g + geom_histogram(binwidth = 90) ? Los quiero representar de la forma: par(mfrow=c(2,2)) a b c d Pero los que crea con ggplot2 aparecen en par(mfrow=c(1,1)), es decir: ignora la instrucción.