similar to: expression exponent labeling

? Fri, 23 May 2025 11:47:33 +0000 Marttila Mikko via R-devel <r-devel at r-project.org> ?????: > When called with a numeric vector, the `replace.zero` argument is > disregarded. > > > prettyNum(0, zero.print = "- ", replace.zero = TRUE) > [1] "-" > Warning message: > In .format.zeros(x, zero.print, replace = replace.zero) : >

Dear list, I'd like to report a bug in `prettyNum()`. When called with a numeric vector, the `replace.zero` argument is disregarded. > prettyNum(0, zero.print = "- ", replace.zero = TRUE) [1] "-" Warning message: In .format.zeros(x, zero.print, replace = replace.zero) : 'zero.print' is truncated to fit into formatted zeros; consider 'replace=TRUE' A

Thank you, Marttila and Ivan, As the original author of prettyNum() {etc ..}, I will commit such a bug fix to R-devel (and probably port it to R 4.5.0 patched) quite soon (but not yet today). Best regards, Martin Maechler >>>>> Ivan Krylov via R-devel >>>>> on Fri, 23 May 2025 17:14:57 +0300 writes: > ? Fri, 23 May 2025 11:47:33 +0000 >

Thanks for the contribution Mikko! For testing future patches, you can actually do it right in the web browser, thanks to Heather Turner's R Dev Container, see instructions here https://contributor.r-project.org/r-dev-env/container_setup/ Best Toby On Mon, May 26, 2025 at 6:28?PM Martin Maechler <maechler at stat.math.ethz.ch> wrote: > Thank you, Marttila and Ivan, > > As

I do not know if this is a bug or a case of improper documentation. The documentation for formatC() implies that the difference between the options format="f" and format="g" is that with "g", scientific format is sometimes used. There is another difference between them that is not mentioned in the documentation. drop0trailing=FALSE is ignored when format is set to

Hello, I need some help with a 4D-Plot. Here is my code: Lab.palette <- colorRampPalette(c("blue","turquoise","green","yellow","orange","red","violet"),space = "Lab") par(las=3,omi=c(0.8,0.1,0.1,0.1)) filled.contour(x,log10(y),log10(z=daten),col=Lab.palette(27),zlim =

Tim, The purpose of the `replace.zero` argument is to allow longer replacements. See for example the behaviour with a character vector input: > prettyNum("0", zero.print = "- ", replace.zero = TRUE) [1] "- " I'm pretty sure this is a bug, and have now posted the relevant details on r-devel. A fix would be below. Best, Mikko diff --git

Friends I am trying to format a number to a string so 2189.745 goes to "2,189.35" and 309283.929 goes to "309,283.93" I have tried to use formatC(X, big.mark=",",drop0trailing=FALSE, format="f") but it does not get the number of decimals correct. Specifying digits does not work as that is significant digits. I could use a switch statement switching on

Dear all, I would like to (i) produce boxplot graphs with axis in logarithm in base 10 and (ii) showing the values on the axis in 10^exponent format rather than 10E+exponent. To illustrate with an example, I have some widely spread data that I chart plot using boxplot() [figure on the left]; the log="y" option of boxplot() I obtained the natural logarithm conversion of the data and

I managed with success to export a data frame of 367 columns and 37 rows to a txt file, but unfortunately I couldn't manage the same with the transposed data frame. Specifically, it seems like the notebook cannot "read" correctly 367 columns, so it reads the first 145 columns and it folds down the rest of them and consequently it folds down the respective data.

Hello, I'm using fArma package to estimate the value of Hurst exponent using R/S method. However, for a certain set of data I get H ~ 1.8. How do I interpret this? Following are the output that I get for this set: > mean(data[,2]) [1] 400.5433 > sd(data[,2]) [1] 1139.786 > > rsFit(data[,2], levels = 64) Title: Hurst Exponent from R/S Method Call: rsFit(x = data[, 2], levels

I am having difficulty with the calculation of the power law exponent for set of nodes within a graph. Specifically, I am interested in the distribution of in-degree and out-degree among communities of web pages where the web pages are the nodes of the graph and the hyperlinks the edges. According to the literature, the distribution of incoming and outgoing links obeys a power law distribution

Hello, I am making a boxplot of 13 boxes. I tried to color the box using 13 colors but failed. Only red and brown were displayed. Green, blue, and grey disappeared. Please kindly advise modification after checking the code below. Thank you in advance. Elaine R code # data input dataN <-read.csv("H:/a_mig_distance_B_NB/R_data/Mig_bird_586_20120925.csv",header=T, row.names=1)

Hello there, I was wondering if anyone might be able to help me as I'm pretty new to R. I'm trying to create a boxplot from a data table returned from an sproc. I have the following code, which generates the plot as I'd like it: library("RODBC"); conn <- odbcConnect("datawarehouse"); # connect to datawarehouse results <- sqlQuery(conn, "call

You fed it two characters, "dash" and "space" and it only wanted one character so it truncated to the first character and warned you that that's what it did. If you had your space before the dash, it would have used that as your replacement character > prettyNum(0, zero.print = " - ", replace = TRUE) [1] " " Warning message: In .format.zeros(x,

Hello This is Elaine. I am using package lattice to generate boxplots. Using Richard's code, the display was almost perfect except the outlier shape. Based on the following code, the outliers are vertical lines. However, I want the outliers to be empty circles. Please kindly help how to modify the code to change the outlier shapes. Thank you. code package (lattice) dataN <-

Dear all, I'm stuck with the following problem: I generate graphs using both the grid system (with lattice) and the base system. I'd like to be able to identify these graphs later on with a bit of identifying text (e.g. a date and some comments). Adding text to these graphs cannot be done using a common system if you want to save them as emf files. I now use: mtext("labelling

is it possible to map 2 plots(c and d) in a single output plot? library(ggplot2) c <- ggplot(mtcars, aes(qsec, wt)) d <- ggplot (mtcars, aes(qsec, wt)) c + stat_smooth(fill="darkgrey", colour="blue", size=2, alpha = 0.2) d + stat_smooth(fill="darkgrey", colour="red", size=2, alpha = 0.2) -- View this message in context:

Hallo I am not familiar with any of packages you use (except of MASS and ggplot2) and the code is too complicated without any hint where the error could come from and what is the message you get. I wonder if anybody would like to go through your whole code. 1. data seems to be read correctly ICUData <- read.csv(file = "ICUData.csv", stringsAsFactors = TRUE) ICUData.neuro <-

Hi, Forgive me, because I am new in R. I need a graph, where: - y axe has log scale - graph would have 4 set values: set first (out$a) has values over 5.5, set second (out$b) and third (out$c) has values over 0.005 and the last set (out$d) has values over 0.0005 of y axe. For this reason, I need have log scale on y axe. I've look for web, but I can't do the graph that I need. I try to do