similar to: spineplot (graphics package): how to control font size?

I noticed, what seened to me, to be odd. These produce a boxplot in the first case and a spineplot in the second case in R .2.2.0: plot(Sepal.Length ~ Species, iris) plot(Species ~ Sepal.Length, iris) What if one wants to exchange axes? Does the fact that this seemingly innocuous change result in completely different graphics make sense? Is it desirable?

I'd like to announce three new packages on CRAN: pmg, gWidgets, and gWidgetsRGtk2. --John Verzani 1 PMG *=*=*= The pmg package for R provides a relatively simple graphical user interface for R in a manner similar to the more mature RCmdr package. Basically this means a menu-driven interface to dialogs that collect arguments for R functions. This GUI was written with an eye towards

I'd like to announce three new packages on CRAN: pmg, gWidgets, and gWidgetsRGtk2. --John Verzani 1 PMG *=*=*= The pmg package for R provides a relatively simple graphical user interface for R in a manner similar to the more mature RCmdr package. Basically this means a menu-driven interface to dialogs that collect arguments for R functions. This GUI was written with an eye towards

Hi All, I would like to make an invitation to make a collective package with all functions related to TABLES. I know that there are many packages with these functions, the original idea is collect all this functions and to make a single package, because is arduous for the user know all this functions broadcast in many packages. So, I think that the original packages can continue with its

Can't seem to get the code below working. It gets stuck on line 24 inside the function hm; comments show the line in question. The function hm is called by sapply and is at the bottom of the code. Other stuff above line 24 works correctly including the first couple of lines of the function hm. Should I be using a different apply function or am I doing something wrong with xmlTreeParse ?

I'm trying to insert rows of a data.frame into a database table, or update where the key fields of a record already exist in the table. I've come up with a possible solution below, but would like to hear if anyone has a better solution. # The problem demonstrated: # Create a data.frame with test values library(RODBC) tbl <- data.frame( key1 = rep(1:3, each = 2), key2 =

Dear R community, I have a medium sized matrix stored in variable "t" and a simple function " countRows" (see below) to count the number of rows in which a selected column "C" matches a given value. If I count all rows matching all pairwise distinct values in the column "C" and sum these counts up, I get the number or rows of "t". If I delete the

I used screen scraping to extract some information and put it into a table called tbl. Now I want to modify the table a bit so the data can be more useful. Here's the code I used: library(XML) rm(list=ls()) url <- "http://webapp.montcopa.org/sherreal/salelist.asp?saledate=05/25/2011" tbl <-data.frame(readHTMLTable(url))[2:405, c(3,5,6,8,9)] names(tbl) <-

Hola una pregunta: ¿Alguien ha trabajado con shinyTable? Mi pregunta es si se puede controlar el tamano de una tabla que se muestra por pantalla El tema es el siguiente: Con esta parte de codigo: output$tbl <- renderHtable({ if (is.null(input$tbl)){ #fill table with 0 tbl <-

Dear R Help Community, I have a question and an answer (based on reading this forum and online research), but I though I should share both since probably there's a much better way to go about my solution. My question is specifically about how to best visualise multiple response contingency tables. What I mean by 'multiple response' is that the total number of responses per row of a

I was able to reproduce the problem with this self-contained example. Maybe it could be reproduced with an even smaller one ... library(tidyquant) # Loads tidyverse, tidyquant, financial pkgs, xts/zoo library(xts) dtV <- as.Date("2017-01-01") + 1:100 locL <- list( foo=xts(rnorm(100), order.by=dtV), bar=xts(rnorm(100), order.by=dtV) ) fullXts <- do.call(merge,locL) smallXts

Statement 9 using sapply does not seem to give the correct answer (or at least to me). Yet I do what I think is the same thing with statement 11 and I get the answer I'm looking for. 9 : s <-sapply(unlist(v[c(1:length(v))]), max) 11: for(i in 1 :length(v)) v1[i] <- max(unlist(v[i])) Shouldn't I get the same answer ? library(XML) rm(list=ls()) url <-

Hi all, there appears to be something strange with the plotting of tables of 1 dimension; if I attempt to make a plot of a table of characters with only 1 value I get an error (Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' and 'y' lengths differ). With more than one value I don't get errors, neither with integers (even if only 1 value): tbl.char1 <-

Hi all, there appears to be something strange with the plotting of tables of 1 dimension; if I attempt to make a plot of a table of characters with only 1 value I get an error (Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' and 'y' lengths differ). With more than one value I don't get errors, neither with integers (even if only 1 value): tbl.char1 <-

cdouglass wrote > Hello all, > > Totally new to this and I'm just doing a frequency distribution analysis > on T-shirt sales by size. I have a .csv with 60 orders. I read in the > data using read.csv. If I look at the summary() or table() of the data it > looks fine, except that the shirt sizes are alphabetical rather than from > S-XXL--so the bar graph loses the shape

Hi all, For the R package bujar, the warnings below were generated on CRAN's Windows systems. The package uses some Fortran subroutines. I would appreciate any advice to eliminate the warnings. By the way, similar warnings were generated to some unrelated R packages as well: https://www.r-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/imputeTS-00check.html. Thanks in advance. Zhu

Hello Tal, You asked *When is it helpful to use interactive plots? Either for data exploration (for ourselves) and data presentation (for a "client")?* My answer: It's helpful for checking data quality, for exploration with and without "clients", for checking results, and for data presenting. Notes: (1) It's difficult to explain interactive data visualization in

I would like to do inserts into a database table, but do updates in the fairly rare cases in which the inserts fail. I thought tryCatch might be the way to do it, but I honestly do not understand the help file for tryCatch at all. I thought something like this might work: for (i in seq(along = tbl$key)) { tryCatch(sqlSave(pg, tbl[i, ], "tbl", append = TRUE, rownames = FALSE),

dear list, i am having trouble coloring the bars in a barplot. my data have two groups, which i would like to plot side by side. within each group i want to sort the observations in decreasing order, like a pareto chart. the bar colors would relfect the value of a third variable. below i have generated a reproducible example. the bar heights are a given pig's "gain",

I'm clustering using kmeans, and it doesn't accept NA. if NA occurs in a column of the data frame, it occurs in every column, including column 1. they say that a (good) programmer can write FORTRAN in any language, so I came up with this, where tbl is the data frame containing NA - > newtbl<-NULL > for (i in 1:length(tbl)){if (!is.na(tbl[1,i])){ + newtbl<-if