Related
I have been using R and RStudio with base and ggplot for a couple of years. Lately, it seems that when some plots are generated, other plots are lost/deleted.
In RStudio, I use the "Plots" pane/tab, and the blue left and right arrows to view the plots that have been created. By disappears, I mean a plot was created and visible here, but if I use the arrows, I can't see it anymore. It was there, and it is not there anymore, it has "disappeared".
After running the code below using "Source" button, which does 3 plots, I can only see 2 plots. If I step through the code using Command-Return, I see the 3 plots generated, but then the middle one gets lost.
After doing more testing, I see for this code it is the call to:
DataExplorer::plot_str(mtcars)
that is the problem. If I comment that line and use another plot from DataExplorer like:
DataExplorer::plot_intro(mtcars)
all the plots are available after the script is complete.
I believe everything is using the latest versions:
mac os - 11.5.2
R - R version 4.1.1 (2021-08-10)
RStudio - RStudio 2021.09.0+351
R libraries - have just updated all the r libraries
Here is a simple base case that seems to recreate the issue. In the example below I am using the DataExplorer library, but I get similar stuff happening in Keras.
Code
########################### Start Initialisation ########################################################################################
# Remove objects from environment
rm(list = ls())
# Clear the R studio console
cat("\014")
# Clear all plots in R studio
try(dev.off(dev.list()["RStudioGD"]),silent<-TRUE)
try(dev.off(),silent<-TRUE)
# Load packages, installing first if not already installed
if (!require(DataExplorer)) {
install.packages("DataExplorer")
library(DataExplorer)
}
##################################
# Use base plotting to plot iris, this works
base::plot(iris, main="iris 1")
# Use DataExplorer::plot_str() to plot mtcars, this works, but then disappears
data("mtcars")
# DataExplorer::plot_str(mtcars) # This causes the problem
DataExplorer::plot_intro(mtcars) # This works
# This plot appears, but seems to cause the one above "mtcars" to disappear
base::plot(iris, main="iris 2")
sessionInfo()
Output:
> # Clear all plots in R studio
> try(dev.off(dev.list()["RStudioGD"]),silent<-TRUE)
null device
1
> try(dev.off(),silent<-TRUE)
> # Load packages, installing first if not already installed
> if (!require(DataExplorer)) {
+ install.packages("DataExplorer")
+ library(DataExpl .... [TRUNCATED]
> ##################################
>
> # Use base plotting to plot iris, this works
> base::plot(iris, main="iris 1")
> # Use DataExplorer::plot_str() to plot mtcars, this works, but then disappears
> data("mtcars")
> DataExplorer::plot_str(mtcars)
> # This plot appears but seems to cause the one above "mtcars" to disappear
> base::plot(iris, main="iris 2")
> sessionInfo()
R version 4.1.1 (2021-08-10)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur 11.5.2
Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
locale:
[1] en_AU.UTF-8/en_AU.UTF-8/en_AU.UTF-8/C/en_AU.UTF-8/en_AU.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] DataExplorer_0.8.2
loaded via a namespace (and not attached):
[1] pillar_1.6.3 compiler_4.1.1 tools_4.1.1 digest_0.6.28 jsonlite_1.7.2 evaluate_0.14 lifecycle_1.0.1 tibble_3.1.4 gtable_0.3.0 pkgconfig_2.0.3
[11] rlang_0.4.11 igraph_1.2.6 DBI_1.1.1 yaml_2.2.1 parallel_4.1.1 xfun_0.26 fastmap_1.1.0 gridExtra_2.3 dplyr_1.0.7 knitr_1.36
[21] generics_0.1.0 vctrs_0.3.8 htmlwidgets_1.5.4 grid_4.1.1 tidyselect_1.1.1 glue_1.4.2 data.table_1.14.2 R6_2.5.1 fansi_0.5.0 rmarkdown_2.11
[31] ggplot2_3.3.5 purrr_0.3.4 magrittr_2.0.1 scales_1.1.1 ellipsis_0.3.2 htmltools_0.5.2 networkD3_0.4 assertthat_0.2.1 colorspace_2.0-2 utf8_1.2.2
[41] munsell_0.5.0 crayon_1.4.1
I thought perhaps the issue was due to mixing different plotting libraries, but the code below which draws 6 plots, 3 using base:plot() and 3 using ggplot2::ggplot() works and generates 6 plots that I can navigate through in RStudio using the blue left and right arrow buttons on the "Plots" pane/tab.
base::plot(mpg, main="mpg 1 - base")
ggplot2::ggplot(mpg, aes(displ, hwy, colour = class)) +
geom_point() +
ggtitle("mpg 1 - ggplot2")
base::plot(ToothGrowth, main="ToothGrowth 2 - base")
ggplot2::ggplot(ToothGrowth, aes(x=supp, y=len, fill=dose))+
geom_boxplot() +
ggtitle("ToothGrowth 2 - ggplot2")
base::plot(iris, main="iris 3 - base")
ggplot2::ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width, fill=Species))+
geom_boxplot() +
ggtitle("iris 3 - ggplot2")
RStudio is:
RStudio 2021.09.0+351 "Ghost Orchid" Release (077589bcad3467ae79f318afe8641a1899a51606, 2021-09-20) for macOS
Mozilla/5.0 (Macintosh; Intel Mac OS X 11_5_2) AppleWebKit/537.36 (KHTML, like Gecko) QtWebEngine/5.12.10 Chrome/69.0.3497.128 Safari/537.36
Mac os version:
(base) % uname -a
Darwin xxxx.lan 20.6.0 Darwin Kernel Version 20.6.0: Wed Jun 23 00:26:31 PDT 2021; root:xnu-7195.141.2~5/RELEASE_X86_64 x86_64
(base) % sw_vers
ProductName: macOS
ProductVersion: 11.5.2
BuildVersion: 20G95
I think the reason is a simple one: you're not outputting a real plot (static).
DataExplorer::plot_intro(mtcars) is the problematic "plot" and the underlying code for this includes diagonalNetwork towards the end of the function:
DataExplorer
function (data, type = c("diagonal", "radial"), max_level = NULL,
print_network = TRUE, ...)
{
i <- idx <- parent <- NULL
str_output_raw <- capture.output(str(data, vec.len = 0, give.attr = FALSE,
give.length = FALSE, list.len = 2000000000L))
str_output <- unlist(lapply(str_output_raw, function(x) {
gsub(" \\.{2}\\#", "\\$\\#", x)
}))
n <- length(str_output)
base_split <- tstrsplit(str_output[2:n], "\\$")
nest_level <- (nchar(base_split[[1]]) - nchar(gsub(" \\.{2}",
"", base_split[[1]])))/3 + 1
diff_nl <- diff(nest_level)
s4_start_index <- which(diff_nl > 1L) + 1L
if (length(s4_start_index) > 0) {
s4_end_index <- which(diff_nl == -2L)
s4_index_range <- unique(unlist(lapply(s4_start_index,
function(i) {
seq.int(i, s4_end_index[which.min(abs(s4_end_index -
i))])
})))
nest_level[s4_index_range] <- nest_level[s4_index_range] -
1L
}
if (is.null(max_level)) {
max_level <- max(nest_level)
}
else if (max_level <= 0 | max_level > max(nest_level)) {
stop(paste0("max_level should be between 1 and ",
max(nest_level)))
}
else {
max_level <- max_level
}
comp_split <- tstrsplit(base_split[[2]], ":")
comp_root <- gsub(" ", "", comp_split[[1]])
comp_root[which(comp_root == "")] <- make.names(comp_root[which(comp_root ==
"")], unique = TRUE)
if (anyDuplicated(comp_root))
comp_root[which(duplicated(comp_root))] <- make.names(comp_root[which(duplicated(comp_root))],
unique = TRUE)
comp_output <- paste0(comp_root, " (", trimws(gsub("NULL|\\.{3}|\\.{2}",
"", comp_split[[2]])), ")")
str_dt <- data.table(idx = seq_along(nest_level), nest_level,
parent = comp_output)[nest_level <= max_level]
str_dt <- str_dt[str_dt[, list(i = idx, nest_level = nest_level -
1, child = parent)], on = list(nest_level, idx < i),
mult = "last"]
drop_columns(str_dt[is.na(parent), `:=`(parent, paste0("root (",
str_output[1], ")"))], c("idx", "nest_level"))
str_to_list <- function(str_dt, root_name = as.character(str_dt[["parent"]][1])) {
str_list <- list(name = root_name)
children <- str_dt[parent == root_name][["child"]]
if (length(children) > 0) {
str_list[["children"]] <- lapply(children,
str_to_list, str_dt = str_dt)
}
str_list
}
str_list <- str_to_list(str_dt)
if (print_network) {
type <- match.arg(type)
if (type == "diagonal")
print(diagonalNetwork(str_list, ...))
if (type == "radial")
print(radialNetwork(str_list, ...))
}
invisible(str_list)
}
where diagonalNetwork uses htmlwidgets:
function (List, height = NULL, width = NULL, fontSize = 10, fontFamily = "serif",
linkColour = "#ccc", nodeColour = "#fff", nodeStroke = "steelblue",
textColour = "#111", opacity = 0.9, margin = NULL)
{
if (!is.list(List))
stop("List must be a list object.")
root <- List
margin <- margin_handler(margin)
options = list(height = height, width = width, fontSize = fontSize,
fontFamily = fontFamily, linkColour = linkColour, nodeColour = nodeColour,
nodeStroke = nodeStroke, textColour = textColour, margin = margin,
opacity = opacity)
htmlwidgets::createWidget(name = "diagonalNetwork",
x = list(root = root, options = options), width = width,
height = height, htmlwidgets::sizingPolicy(padding = 10,
browser.fill = TRUE), package = "networkD3")
}
htmlwidgets is an interactive "plot" and opens under RStudio's viewer pane and not the static plots pane.
I've been trying to follow this vignette on how to make a shared legend for multiple ggplot2. The given examples work perfectly as is, but in my case, I'm using tikzDevice to export a tikzpicture environment. The main problem seems to be that the widths of the legend keys are not correctly captured by grid_plot.
I came up with a minimal R code that reproduces the problem:
require(ggplot2)
require(grid)
require(gridExtra)
require(cowplot)
require(tikzDevice)
tikz(file = "./tmp.tex", width = 5.6, height = 2.2, standAlone = T )
mpg2 <- mpg
mpg2$cyl = as.factor(mpg2$cyl)
levels(mpg2$cyl) <- c("\\textbf{\\textsc{four}}",
"\\textbf{\\textsc{five}}",
"\\textbf{\\textsc{six}}",
"\\textbf{\\textsc{seven}}",
"\\textbf{\\textsc{eight}}")
plot.mpg <- ggplot(mpg2, aes(x=cty, colour=cyl, y = hwy)) +
geom_point() +
theme(legend.position='none')
legend <- get_legend(plot.mpg + theme(legend.position = "top"))
print(plot_grid(legend,
plot.mpg, nrow=2, ncol=1,align='h',
rel_heights = c(.1, 1)))
dev.off()
The generated PDF file (after compiling tmp.tex) looks like this:
As we can observe, first legend key (four) is only partially displayed and legend key (eight) is completely invisible. I tried changing tikz command width to no avail.
Also, I suspect that the reason behind the problem is that grid_plot command incorrectly measures the length of the legend keys if they contain latex mark up. To show that this is the cause of the problem, consider changing the levels of the mpg2$cyl to the following:
levels(mpg2$cyl) <- c("four",
"five",
"six",
"seven",
"eight")
This should result in the following plot with a perfect legend:
Please note that the example above is just meant to reproduce the problem and is not what I'm trying to do. Instead, I have four plots that I'm trying to use a shared common legend for them.
Anyone please can tell me how to fix the legend problem when it contains latex mark up?
By the way, here is my sessionInfo():
R version 3.3.2 (2016-10-31)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X Yosemite 10.10.5
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] tikzDevice_0.10-1 dplyr_0.5.0 gdata_2.17.0 cowplot_0.7.0
[5] gridExtra_2.2.1 ggplot2_2.2.0
loaded via a namespace (and not attached):
[1] gtools_3.5.0 colorspace_1.2-6 DBI_0.5 RColorBrewer_1.1-2
[5] plyr_1.8.4 munsell_0.4.3 gtable_0.2.0 labeling_0.3
[9] Rcpp_0.12.6 scales_0.4.1 filehash_2.3 digest_0.6.10
[13] tools_3.3.2 magrittr_1.5 lazyeval_0.2.0 tibble_1.1
[17] assertthat_0.1 R6_2.1.3
Thank you all.
ggplot2 appears to calculate the string widths based on the raw string as opposed to box sizes that should be returned by TeX. I'm guessing it's a calculation done too early (ie not at drawing time) in the guides code.
As a workaround you could edit the relevant widths manually in the gtable, by calling getLatexStrWidth explicitly. Note I also added a package in the preamble otherwise the default font doesn't show bold small caps.
require(ggplot2)
require(grid)
require(gridExtra)
require(tikzDevice)
setTikzDefaults(overwrite = TRUE)
preamble <- options("tikzLatexPackages")
options("tikzLatexPackages" = c(preamble$tikzLatexPackages, "\\usepackage{bold-extra}"))
tikz(file = "./tmp.tex", width = 5.6, height = 2.2, standAlone = TRUE )
mpg2 <- mpg
mpg2$cyl = as.factor(mpg2$cyl)
levels(mpg2$cyl) <- c("\\textbf{\\textsc{four}}",
"\\textbf{\\textsc{five}}",
"\\textbf{\\textsc{six}}",
"\\textbf{\\textsc{seven}}",
"\\textbf{\\textsc{eight}}")
p <- ggplot(mpg2, aes(x=cty, colour=cyl, y = hwy)) +
geom_point() +
theme(legend.position='none')
leg <- cowplot::get_legend(p + theme(legend.position = "top"))
ids <- grep("label",leg$grobs[[1]]$layout$name)
pos <- leg$grobs[[1]]$layout$l[ids]
wl <- sapply(leg$grobs[[1]][["grobs"]][ids], function(g) getLatexStrWidth(g[["label"]]))
leg$grobs[[1]][["widths"]][pos] <- unit(wl, "pt")
grid.arrange(p, top=leg)
dev.off()
Maybe it's easier to introduce a temporary markup that doesn't affect much the string width, and post-process the tex file between R and latex steps,
levels(mpg2$cyl) <- c("$four$",
"$five$",
"$six$",
"$seven$",
"$eight$")
[...]
tmp <- readLines("tmp.tex")
gs <- gsub("\\$(four|five|six|seven|eight)\\$", "\\\\textsc{\\1}", tmp, perl=TRUE)
cat(paste(gs, collapse="\n"), file="tmp2.tex")
I'm compiling using RMarkdown and knitr a short protocol for me (in one html file), about modelling. The basis is Zuur, A. F. "leno, E. N, Walker, NJ, Saveliev, AA & Smith, G M. 2009: Mixed effects models and extensions in ecology with R."
I downloaded the code and the datasets shared in their website1 and I'm mixing it with other sources and comments to produce something useful for me. In this website you can freely download the two dataset I'm using.
The main problem is that I'm trying to mix something made with mgcv package and something with gam package.
I clearly understood from this two topics that this is the problem:
R Package conflict between gam and mgcv?
Are there known compatibility issues with R package mgcv? Are there general rules for compatibility?
But I would like to find a solution. Obviously as answered in theese two topics specify the package or detach the unused one does not work. I just tried in my code.
Those are the parts that are causing me problems:
---
title: "error"
author: "Simone Marini"
date: "29 marzo 2016"
output: html_document
---
```{r setup, include = FALSE, cache = FALSE}
knitr::opts_chunk$set(error = TRUE) # to allow rendering to html even if there are errors
```
```{r}
Loyn <- read.table(file = "zuur_data/Loyn.txt", header = TRUE, dec = ".")
Loyn$fGRAZE <- factor(Loyn$GRAZE) # Transform in factor Graze data (from 1 to 5 -> 5 classes)
Loyn$L.AREA<-log10(Loyn$AREA)
Loyn$L.DIST<-log10(Loyn$DIST)
Loyn$L.LDIST<-log10(Loyn$LDIST)
```
```{r}
library(mgcv)
AM1<-mgcv::gam(ABUND~s(L.AREA)+s(L.DIST)+s(L.LDIST)+
s(YR.ISOL)+s(ALT)+fGRAZE, data = Loyn)
# The anova command does not apply a sequential F-test as it did for the linear regression model.
# Instead, it gives the Wald test (approximate!) that shows the significance of each term in the model.
anova(AM1)
AM2<-mgcv:::gam(ABUND ~ s(L.AREA, bs = "cs") + s(L.DIST, bs = "cs") +
s(L.LDIST,bs = "cs") + s(YR.ISOL, bs = "cs") +
s(ALT, bs = "cs") + fGRAZE, data = Loyn)
anova(AM2)
AM3 <- mgcv:::gam(ABUND ~ s(L.AREA, bs = "cs") + fGRAZE, data = Loyn)
#Model plot
plot(AM3)
E.AM3 <- resid(AM3) # Residuals
Fit.AM3 <- fitted(AM3) # Fitted values
plot(x = Fit.AM3, y = E.AM3, xlab = "Fitted values",
ylab = "Residuals") # Graph
M3<-lm(ABUND ~ L.AREA + fGRAZE, data = Loyn)
AM3<-mgcv:::gam(ABUND ~ s(L.AREA, bs = "cs") + fGRAZE, data = Loyn)
anova(M3, AM3)
```
```{r}
rm(list=ls())
detach("package:mgcv")
ISIT <- read.table(file = "zuur_data/ISIT.txt", header = TRUE, dec = ".")
ISIT$fStation<-factor(ISIT$Station)
op <- par(mfrow=c(2,2),mar=c(5,4,1,2))
Sources16<-ISIT$Sources[ISIT$Station==16]
Depth16<-ISIT$SampleDepth[ISIT$Station==16]
plot(Depth16,Sources16,type="p")
library(gam)
M2<-gam:::gam(Sources16~gam::lo(Depth16,span=0.5))
plot(M2,se=T)
P2 <- predict(M2, se = TRUE)
plot(Depth16, Sources16, type = "p")
I1 <- order(Depth16)
lines(Depth16[I1], P2$fit[I1], lty = 1)
lines(Depth16[I1], P2$fit[I1] + 2 * P2$se[I1], lty = 2)
lines(Depth16[I1], P2$fit[I1] - 2 * P2$se[I1], lty = 2)
par(op)
```
Does anyone knows a way to "detach" completely mgcv or gam? Or a code that can "reaload" the entire environment when I have to compile the gam part?
My sessionInfo if it is useful.
R version 3.2.3 (2015-12-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
locale:
[1] LC_COLLATE=Italian_Italy.1252 LC_CTYPE=Italian_Italy.1252 LC_MONETARY=Italian_Italy.1252
[4] LC_NUMERIC=C LC_TIME=Italian_Italy.1252
attached base packages:
[1] splines stats graphics grDevices utils datasets methods base
other attached packages:
[1] lattice_0.20-33 gam_1.12 foreach_1.4.3 mgcv_1.8-11 nlme_3.1-124
loaded via a namespace (and not attached):
[1] Matrix_1.2-3 htmltools_0.3 tools_3.2.3 yaml_2.1.13 codetools_0.2-14 rmarkdown_0.9.2
[7] grid_3.2.3 iterators_1.0.8 knitr_1.12.3 digest_0.6.9
I know that the title of this question is a duplicate of this Question and this Question but the solutions over there don't work for me and the error message is (slightly) different:
Error in grid.Call(L_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
polygon edge not found
(note the missing part about the missing font)
I tried all suggestions that I found (updating / reinstalling all loaded graphic packages, ggplot2, GGally, and scales, reinitialising the Fonts on Mac OSX by starting in safe mode, moving the Fonts from /Fonts/ (Disabled) back into /Fonts...) but none of it resolved the problem.
The error seems to occure when I plot a ggplot graph with
scale_y_continuous(label=scientific_10)
where scientific_10 is defined as
scientific_10 <- function(x) {
parse(text = gsub("e", " %*% 10^", scientific_format()(x)))
}
Therefore the I suspect that the scales library has something to do with it.
The most puzzling is that the error only occurs each so-and-so many times, maybe each 3rd or 5th time i try to plot the same graph...
> sessionInfo()
R version 3.2.2 (2015-08-14)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.9.5 (Mavericks)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] gridExtra_2.0.0 scales_0.3.0 broom_0.4.0 tidyr_0.3.1 ggplot2_1.0.1 GGally_0.5.0 dplyr_0.4.3
loaded via a namespace (and not attached):
[1] Rcpp_0.11.5 magrittr_1.5 MASS_7.3-43 mnormt_1.5-1 munsell_0.4.2 colorspace_1.2-6 lattice_0.20-33 R6_2.0.1
[9] stringr_0.6.2 plyr_1.8.1 tools_3.2.2 parallel_3.2.2 grid_3.2.2 gtable_0.1.2 nlme_3.1-121 psych_1.5.8
[17] DBI_0.3.1 htmltools_0.2.6 lazyeval_0.1.10 yaml_2.1.13 assertthat_0.1 digest_0.6.8 reshape2_1.4.1 rmarkdown_0.8.1
[25] labeling_0.3 reshape_0.8.5 proto_0.3-10
traceback()
35: grid.Call(L_textBounds, as.graphicsAnnot(x$label), x$x, x$y,
resolveHJust(x$just, x$hjust), resolveVJust(x$just, x$vjust),
x$rot, 0)
34: widthDetails.text(x)
33: widthDetails(x)
32: (function (x)
{
widthDetails(x)
})(list(label = expression(5 %*% 10^+5, 7.5 %*% 10^+5, 1 %*%
10^+6, 1.25 %*% 10^+6, 1.5 %*% 10^+6), x = 1, y = c(0.0777214770341215,
0.291044141334423, 0.504366805634725, 0.717689469935027, 0.931012134235329
), just = "centre", hjust = 1, vjust = 0.5, rot = 0, check.overlap = FALSE,
name = "axis.text.y.text.8056", gp = list(fontsize = 9.6,
col = "black", fontfamily = "", lineheight = 0.9, font = 1L),
vp = NULL))
31: grid.Call.graphics(L_setviewport, vp, TRUE)
30: push.vp.viewport(X[[i]], ...)
I solved it by installing the library extrafont, installing a set of specific fonts and forcing ggplot to use only these fonts:
require(extrafont)
# need only do this once!
font_import(pattern="[A/a]rial", prompt=FALSE)
require(ggplot2)
# extending the help file example
df <- data.frame(gp = factor(rep(letters[1:3], each = 10)), y = rnorm(30))
ds <- plyr::ddply(df, "gp", plyr::summarise, mean = mean(y), sd = sd(y))
plotobj <- ggplot(df, aes(gp, y)) +
geom_point() +
geom_point(data = ds, aes(y = mean), colour = 'red', size = 3) +
theme(text=element_text(size=16, family="Arial"))
print(plotobj)
I experienced the same issue when trying to plot ggplot/grid output to the graph window in Rstudio. However, plotting to an external graphing device seems to work fine.
The external device of choice depends on your system, but the script below, paraphrased from this blog, works for most systems:
a = switch(tolower(Sys.info()["sysname"]),
"darwin" = "quartz",
"linux" = "x11",
"windows" = "windows")
options("device" = a)
graphics.off()
rm(a)
and to switch back to using the Rstudio plot window:
options("device"="RStudioGD")
graphics.off()
Note that by switching, you lose any existing plots.
A lot of solutions for this particular error direct you to look under the hood of your computer but this error can also be caused by a scripting error in which R expects to match elements from two data structures but cannot.
For me the error was caused by calling a fairly complex graphing function (see below) that read an ordered character vector as well as a matrix whose row names were supposed to each match a value in the ordered character vector. The problem was that some of my values contained dashes in them and R's read.table() function translated those dashes to periods (Ex: "HLA-DOA" became "HLA.DOA").
I was using the ComplexHeatmap package with a call like this:
oncoPrint(mat,
get_type = function(x) strsplit(x, ";")[[1]],
alter_fun_list = alter_fun_list,
col = col,
row_order = my_order,
column_title = "OncoPrint",
heatmap_legend_param = list(title = "Alternations", at = c("AMP", "HOMDEL", "MUT"), labels = c("Amplification", "Deep deletion", "Mutation"))
)
In this call:
mat was a matrix that had dashes swapped out for periods
my_order was a character vector containing the same values as the row names of matexcept the dashes remained
every other argument is essential to the call but irrelevant to this post
To help R find this elusive "polygon edge", I just edited my character vector with:
row_order <- gsub("\\.", "-", row_order)
If you've tried re-installing packages, restarting your computer and re-enabling fonts - maybe check and see if you've got some faulty character matching going on in your call.
i tried to set the font of aes,returned the error info
the added words:
p <- p + theme(text = element_text(family = "宋体"))
when i tried to remove the setting,it's ok then.
Actually, I have the same problem on my MAC and couldn't solve it on a regular base... Since it also happens like every 5th or 10th execution I decided to wrap the whole ggplot command into a trycatch call and execute it until it doesn't fail...
The code would looks like this
error_appeared <- FALSE
repeat{
tryCatch({ # we put everything into a try catch block, because sometimes we get an error
gscat <-
ggplot() # my ggplot command which sometimes fail
ggsave('file.pdf', gscat, width=8,height=8)
plot(gscat)
},
error=function(e) {
print('redo the ratioscatterplot.')
error_appeared <- TRUE
}
)
if(!error_appeared){
break
}
}
Actually I figured out, only the drawing/plotting of the figure gives problems! Saving always works.
Maybe this is helping someone, since I couldn't find a solution which actually solves the whole thing!
Additional:
If somebody wants to play with the problem on a "reproducible example" the code below throws an average of 2 errors out of 20 within the loop.
library(scales)
library(ggplot2)
df <- data.frame(
log2.Ratio.H.L.normalized.rev = c(2.53861265542646, 0.402176424979483, 0.438931541934545, 0.639695233399582, 0.230203013366421,
2.88223218956399, 1.23051046036618, 2.56554843533357, 0.265436896049098,
1.32866415755805, -0.92108963514092, 0.0976107966264223, -0.43048946484291,
-0.558665259531966, 4.13183638727079, 0.904580434921318, -0.0733780789564803,
-0.621932351219966, 1.48594198341242, -0.365611185917855, 1.21088754922081,
-2.3717583289898, 2.95160644380282, 3.71446534016249),
Intensity = c(5951600000, 2.4433e+10, 1.1659e+10, 2273600000, 6.852e+10, 9.8746e+10, 5701600000,
1758500000, 987180000, 3.4167e+11, 1.5718e+10, 6.8888e+10, 5.5936e+10,
8702900000, 1093500000, 4426200000, 1.3681e+11, 7.773e+09, 5860400000,
1.2861e+12, 2017900000, 2061300000, 240520000, 1382700000),
my_label = c("RPL18",
"hCG_2024613", "NOL7", "PRPF4B", "HIST1H2BC", "XRCC1", "C9orf30",
"CABIN1", "MGC3731", "XRCC6", "RPL23", "RPL27", "RPL17", "RPL32",
"XPC", "RPL15", "GNL3", "RPL29", "JOSD3", "PARP1", "DNAPTP6",
"ORC2L", "NCL", "TARDBP"))
unlink("figures", recursive=TRUE)
if(!dir.exists('figures')) dir.create('figures')
for(i in 1:20) {
error_appeared <- FALSE
repeat{
tryCatch({ # we put everything into a try catch block, because sometimes we get an error
gscat <-
ggplot(df, aes_string("log2.Ratio.H.L.normalized.rev", 'Intensity')) +
geom_point(data=df[abs(df[["log2.Ratio.H.L.normalized.rev"]]) < 1,],
color='black', alpha=.3, na.rm=TRUE) +
scale_y_log10(labels = scales::trans_format("log10", scales::math_format()))
ggsave(file.path('figures', paste0('intensity_scatter_', i, '.pdf')),
gscat, width=8, height=8)
plot(gscat)
},
error=function(e) {
# print(e)
print(sprintf('%s redo the ratioscatterplot.', i))
error_appeared <- TRUE
}
)
if(!error_appeared){
break
}
}
}
I have Rstudio on Windows (sessionInfo() below) and am trying to build an r presentation using markdown. When I try to knit HTML or PDF it does not seem to be retaining the folder where plots should be generated from and as a result my presentations are missing plots. I have confirmed that it does work with a basic html_document though.
Does anyone have any ideas on how to resolve?
MWE (rstudio default with headers for slides)
---
title: "plottest2"
author: "AN Other"
date: "Monday, June 30, 2014"
output: html_document
---
## Area 1 ##
This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see <http://rmarkdown.rstudio.com>.
When you click the **Knit** button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
```{r}
summary(cars)
```
## Area 2 ##
You can also embed plots, for example:
```{r, echo=FALSE}
plot(cars)
```
Note that the `echo = FALSE` parameter was added to the code chunk to prevent printing of the R code that generated the plot.
This generates using the knit html command, but change html_document to ioslides_presentation and it won't pick up the plot
SessionInfo
> sessionInfo()
R version 3.1.0 (2014-04-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_United Kingdom.1252 LC_CTYPE=English_United Kingdom.1252 LC_MONETARY=English_United Kingdom.1252 LC_NUMERIC=C
[5] LC_TIME=English_United Kingdom.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] lattice_0.20-29 ggplot2_1.0.0
loaded via a namespace (and not attached):
[1] colorspace_1.2-4 digest_0.6.4 evaluate_0.5.5 formatR_0.10 grid_3.1.0 gtable_0.1.2 htmltools_0.2.4 knitr_1.6 labeling_0.2 MASS_7.3-31
[11] munsell_0.4.2 plyr_1.8.1 proto_0.3-10 Rcpp_0.11.2 reshape2_1.4 rmarkdown_0.2.49 scales_0.2.4 stringr_0.6.2 tools_3.1.0 yaml_2.1.13
C:\Program Files\R\R-3.1.0\library\base\R.Rprofile
### This is the system Rprofile file. It is always run on startup.
### Additional commands can be placed in site or user Rprofile files
#
# Copyright (C) 1995-2012 The R Core Team
### (see ?Rprofile).
### Notice that it is a bad idea to use this file as a template for
### personal startup files, since things will be executed twice and in
### the wrong environment (user profiles are run in .GlobalEnv).
.GlobalEnv <- globalenv()
attach(NULL, name = "Autoloads")
.AutoloadEnv <- as.environment(2)
assign(".Autoloaded", NULL, envir = .AutoloadEnv)
T <- TRUE
F <- FALSE
R.version <- structure(R.Version(), class = "simple.list")
version <- R.version # for S compatibility
## for backwards compatibility only
R.version.string <- R.version$version.string
## NOTA BENE: options() for non-base package functionality are in places like
## --------- ../utils/R/zzz.R
options(keep.source = interactive())
options(warn = 0)
# options(repos = c(CRAN="#CRAN#"))
# options(BIOC = "http://www.bioconductor.org")
options(timeout = 60)
options(encoding = "native.enc")
options(show.error.messages = TRUE)
## keep in sync with PrintDefaults() in ../../main/print.c :
options(scipen = 0)
options(max.print = 99999)# max. #{entries} in internal printMatrix()
options(add.smooth = TRUE)# currently only used in 'plot.lm'
options(stringsAsFactors = TRUE)
if(!interactive() && is.null(getOption("showErrorCalls")))
options(showErrorCalls = TRUE)
local({dp <- Sys.getenv("R_DEFAULT_PACKAGES")
if(identical(dp, "")) # marginally faster to do methods last
dp <- c("datasets", "utils", "grDevices", "graphics",
"stats", "methods")
else if(identical(dp, "NULL")) dp <- character(0)
else dp <- strsplit(dp, ",")[[1]]
dp <- sub("[[:blank:]]*([[:alnum:]]+)", "\\1", dp) # strip whitespace
options(defaultPackages = dp)
})
## Expand R_LIBS_* environment variables.
Sys.setenv(R_LIBS_SITE =
.expand_R_libs_env_var(Sys.getenv("R_LIBS_SITE")))
Sys.setenv(R_LIBS_USER =
.expand_R_libs_env_var(Sys.getenv("R_LIBS_USER")))
.First.sys <- function()
{
for(pkg in getOption("defaultPackages")) {
res <- require(pkg, quietly = TRUE, warn.conflicts = FALSE,
character.only = TRUE)
if(!res)
warning(gettextf('package %s in options("defaultPackages") was not found', sQuote(pkg)),
call.=FALSE, domain = NA)
}
}
.OptRequireMethods <- function()
{
if("methods" %in% getOption("defaultPackages")) {
res <- require("methods", quietly = TRUE, warn.conflicts = FALSE,
character.only = TRUE)
if(!res)
warning('package "methods" in options("defaultPackages") was not found', call.=FALSE)
}
}
if(nzchar(Sys.getenv("R_BATCH"))) {
.Last.sys <- function()
{
cat("> proc.time()\n")
print(proc.time())
}
## avoid passing on to spawned R processes
## A system has been reported without Sys.unsetenv, so try this
try(Sys.setenv(R_BATCH=""))
}
###-*- R -*-
## this will break if R is on a network share
.Library <- file.path(chartr("\\", "/", R.home()), "library")
.Library.site <- Sys.getenv("R_LIBS_SITE")
.Library.site <- if(!nchar(.Library.site)) file.path(R.home(), "site-library") else unlist(strsplit(.Library.site, ";"))
.Library.site <- .Library.site[file.exists(.Library.site)]
if(!nzchar(Sys.getenv("R_LIBS_USER")))
Sys.setenv(R_LIBS_USER=
file.path(Sys.getenv("R_USER"), "R",
"win-library",
paste(R.version$major,
sub("\\..*$", "", R.version$minor),
sep=".")
))
invisible(.libPaths(c(unlist(strsplit(Sys.getenv("R_LIBS"), ";")),
unlist(strsplit(Sys.getenv("R_LIBS_USER"), ";"))
)))
local({
popath <- Sys.getenv("R_TRANSLATIONS", "")
if(!nzchar(popath)) {
paths <- file.path(.libPaths(), "translations", "DESCRIPTION")
popath <- dirname(paths[file.exists(paths)][1])
}
bindtextdomain("R", popath)
bindtextdomain("R-base", popath)
bindtextdomain("RGui", popath)
assign(".popath", popath, .BaseNamespaceEnv)
})
if(nzchar(Sys.getenv("R_PAPERSIZE"))) {
options(papersize = Sys.getenv("R_PAPERSIZE"))
} else {
if(grepl("(canada|united.states)", Sys.getlocale("LC_MONETARY"),
ignore.case = TRUE)) options(papersize = "letter")
else options(papersize = "a4")
}
options(pager = if(length(grep("--ess", commandArgs()))) "console" else "internal",
useFancyQuotes = (.Platform$GUI == "Rgui"),
pdfviewer = Sys.getenv("R_PDFVIEWER", file.path(R.home("bin"), "open.exe")))
if(.Platform$GUI == "Rgui")
Sys.setenv(GFORTRAN_STDOUT_UNIT = "-1", GFORTRAN_STDERR_UNIT = "-1")
local({
br <- Sys.getenv("R_BROWSER", NA_character_)
if(!is.na(br)) options(browser = br)
tests_startup <- Sys.getenv("R_TESTS")
if(nzchar(tests_startup)) source(tests_startup)
})
C:\Program Files\R\R-3.1.0\etc\Rprofile.site
# Things you might want to change
# options(papersize="a4")
# options(editor="notepad")
# options(pager="internal")
# set the default help type
# options(help_type="text")
options(help_type="html")
# set a site library
# .Library.site <- file.path(chartr("\\", "/", R.home()), "site-library")
# set a CRAN mirror
# local({r <- getOption("repos")
# r["CRAN"] <- "http://my.local.cran"
# options(repos=r)})
# Give a fortune cookie, but only to interactive sessions
# (This would need the fortunes package to be installed.)
# if (interactive())
# fortunes::fortune()
I have found the same issue with RStudio-0.98.983 and R-3.1.1-win. Uninstalling both and reinstalling did NOT solve the issue for me. I have tried with RStudio-0.98.994 and it did not work either...
Update: This was reported (see link in the comments below) and a solution was found by the RStudio team. It seems it is an issue with the Lua base64 encoder on Windows, which is used in ioslides. The solution is to install the packages httpuv or catools. After restarting RStudio, the issue should be fixed (at least it was for me!).
I had a similar problem with a chart not being displayed. It turned out that the problem was that the name of the .Rpres file I was using had spaces in it. Once I replaced the spaces with underscores the plot appeared again.
Use "Example_File_Name.Rpres" not "Example File Name.Rpres".
I had the same problem, and a different solution worked for me.
- don't save the rmarkdown with any numbers in the document name,
- and also don't inlcude the .html in the document name, to the markdown file you wish to save
Using just a name without the two above should create one rmd-file and one html-file in your designated folder. The rmd-file will not include plots, the html-File however should inlcude them in its presentation.
This is a localised issue - an install on a fresh computer did not have this error. It could be due to having previous versions of R hanging around - suggest taking the route of completely uninstalling R and Rstudio.
Uninstalling R and Rstudio works.