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.
Related
I have the following Rmd file:
---
output: bookdown::gitbook
---
```{r include=FALSE}
rgl::setupKnitr()
```
```{r testing1,webgl=TRUE}
with(attitude,
car::scatter3d(x = rating, z = complaints, y = learning)
)
```
```{r testing2,webgl=TRUE}
with(attitude,
car::scatter3d(x = rating, z = complaints, y = learning)
)
```
When I knit this file, it produces and HTML file containing two, identical 3D interactive scatterplots. Both scatterplots look like they should, but the second scatterplot does not rotate properly. It will not rotate horizontally in depth correctly (eg, around the vertical axis).
In case it helps, you can find the HTML output of the knit here: https://www.dropbox.com/s/v3usmtes7n54t6q/Untitled.html.zip?dl=0
I have done all the following, none of which have fixed the problem:
Updated all packages with update.packages().
Installed the development version of bookdown.
Installed the development version of knitr.
Tried the solution here (didn't work): interactive 3D plots in markdown file - not working anymore?
I have noted the following:
If I change the output to html_document I do not have the problem (I'm debugging the problem in a bookdown::gitbook though, so that knowledge does not directly help me).
In the Firefox (77.0.1, 64-bit) javascript error console there is an error: TypeError: li[0] is undefined / plugin-bookdown.js:152:43 (which appears to have something to do with the table of contents and scrolling?)
Here is the output of sessionInfo():
> sessionInfo()
R version 4.0.0 (2020-04-24)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Catalina 10.15.5
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib
locale:
[1] en_GB.UTF-8/en_GB.UTF-8/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] bookdown_0.19.4 fansi_0.4.1 digest_0.6.25 crayon_1.3.4
[5] assertthat_0.2.1 evaluate_0.14 rlang_0.4.6 cli_2.0.2
[9] rstudioapi_0.11 rmarkdown_2.3 tools_4.0.0 glue_1.4.1
[13] xfun_0.14 yaml_2.2.1 rsconnect_0.8.16 compiler_4.0.0
[17] htmltools_0.5.0 knitr_1.28.7
In addition, here are the versions of some other relevant packages:
> installed.packages()[c("rgl","mgcv","car"),"Version"]
rgl mgcv car
"0.100.54" "1.8-31" "3.0-8"
Edit to add more detail
I have the same problem while using rgl::persp3d, so it isn't specific to car::scatter3d. The HTML from the Rmd file below uses only rgl but exhibits the same behavior.
---
output: bookdown::gitbook
---
```{r include=FALSE}
rgl::setupKnitr()
x <- seq(-10, 10, length = 30)
y <- x
f <- function(x, y) { r <- sqrt(x^2 + y^2); 10 * sin(r)/r }
z <- outer(x, y, f)
z[is.na(z)] <- 1
```
```{r testing1,webgl=TRUE}
rgl::persp3d(x, y, z, aspect = c(1, 1, 0.5), col = "lightblue",
xlab = "X", ylab = "Y", zlab = "Sinc( r )",
polygon_offset = 1)
```
```{r testing2,webgl=TRUE}
rgl::persp3d(x, y, z, aspect = c(1, 1, 0.5), col = "lightblue",
xlab = "X", ylab = "Y", zlab = "Sinc( r )",
polygon_offset = 1)
```
This turned out to be a bug in rgl, that was using an obsolete method to compute the location of mouse clicks relative to objects in scenes. It worked in an html_document, but not with bookdown::gitbook.
The development version (0.102.6) of rgl has fixed this, but it contains some really major changes, and a few other things are still broken by them: in particular using the webgl=TRUE chunk option. If you want to use the devel version, you should use explicit calls to rglwidget() in each chunk, or if you want to try out the new stuff, use rgl::setupKnitr(autoprint = TRUE) and just treat rgl graphics like base graphics, controlled by chunk options fig.keep etc.
Edited to add: version 0.102.7 fixes the known webgl=TRUE issue.
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 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
}
}
}
since I read a lot similar question on stackoverflow so far, I couldn't find a good solution without updating ggplot2 to the development version.
My problem, I have several scripts which use arrangeGrob to create combined graph out of individual graphs. I save them into a variable and print this variable and/or save it with ggsave. Since a lot of my colleagues update there packages regularly (which is a good thing I think), I always get mails my script no longer work after updating to gridExtra 2.0.0.
I am not sure how to handle this, since the new ggplot2 version where the problem is solved is still under development. I found an article on stack overflow to remove a test if the object to save is a ggplot since the new arrangeGrob function returns a gtable object, but this fails in my case:
library(ggplot2)
library(grid)
library(gridExtra)
a <- data.frame(x=c(1,2,3),
y=c(2,3,4))
p <- ggplot(a, aes(x, y)) + geom_point()
b <- arrangeGrob(p, p)
grid.draw(b)
ggsave('test.pdf', b)
ggsave <- ggplot2::ggsave
body(ggsave) <- body(ggplot2::ggsave)[-2]
ggsave('test.pdf', b)
Some output and error on the console:
d> grid.draw(b)
d> ggsave('test.pdf', b)
Error in ggsave("test.pdf", b) : plot should be a ggplot2 plot
d> ggsave <- ggplot2::ggsave
d> body(ggsave) <- body(ggplot2::ggsave)[-2]
d> ggsave('test.pdf', b)
Saving 10.5 x 10.7 in image
TableGrob (2 x 1) "arrange": 2 grobs
z cells name grob
1 1 (1-1,1-1) arrange gtable[layout]
2 2 (2-2,1-1) arrange gtable[layout]
d>
The test.pdf is created but it is corrupted in any way and can not be opened. Also the gtable object get printed. So I guess something is wrong here.
But, as you can see, I found in the example code, I found the grid.draw function to plot at least my combined graph but I still can not ggsave it after the modification.
I don't want to use the "old" (pdf(file = "test.pdf"); grid.draw(b); dev.off()) device saving functions as suggested in this article, since they are very uncomfortable to use.
In this question someone asked exactly how to save the object, but in the answer they just explain to use grid.darw and he accepted the answer as solving the problem and nobody answered on my comments so far.
So I am pretty lost at the moment, how to provide working scripts for those who have and have not updated to new gridExtra package. The way to remove the test within the ggsave function is I guess the best solution since I can check the gridExtra and ggplot2 version and just overwrite the ggsave function in case there version do not match, but I could not get it to run.
Looking forward to get some help.
EDIT:
maybe the sessionInfo helps
d> sessionInfo()
R version 3.2.0 (2015-04-16)
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] grid stats graphics grDevices utils datasets methods base
other attached packages:
[1] gridExtra_2.0.0 ggplot2_1.0.1
loaded via a namespace (and not attached):
[1] Rcpp_0.12.1 digest_0.6.8 MASS_7.3-44 plyr_1.8.3 gtable_0.1.2
[6] magrittr_1.5 scales_0.3.0 stringi_1.0-1 reshape2_1.4.1 devtools_1.9.1
[11] proto_0.3-10 tools_3.2.0 stringr_1.0.0 munsell_0.4.2 colorspace_1.2-6
[16] memoise_0.2.1
As an temporary workaround for this unfortunate transition period, you could re-implement the class hack that used to be in gridExtra,
class(b) <- c("arrange","ggplot", class(b))
print.arrange <- function(x) grid.draw(x)
ggsave('test.pdf', b)
Pascal brought me finally to the idea to check for the differences between ggplot 1.0.1 and ggplot 1.0.1.9003, since I don't want to or force the development version of ggplot.
So my idea is a function which will be executed within each script which overwrites the default ggsave function.
I tested it now a little, if there are any bugs or so, please let me know. But the way I do it now it works so far.
repairGgsave <- function() {
ggplot_version <-
compareVersion(as.character(packageVersion('ggplot2')),
'1.0.1.9003')
gridextra_version <-
compareVersion(as.character(packageVersion('gridExtra')),
'0.9.1')
if(gridextra_version > 0) {
if(ggplot_version <= 0) {
ggsave <- function(filename, plot = last_plot(),
device = NULL, path = NULL, scale = 1,
width = NA, height = NA, units = c("in", "cm", "mm"),
dpi = 300, limitsize = TRUE, ...) {
dev <- plot_dev(device, filename, dpi = dpi)
dim <- plot_dim(c(width, height), scale = scale, units = units,
limitsize = limitsize)
if (!is.null(path)) {
filename <- file.path(path, filename)
}
dev(file = filename, width = dim[1], height = dim[2], ...)
on.exit(utils::capture.output(grDevices::dev.off()))
grid.draw(plot)
invisible()
}
assign("ggsave", ggsave, .GlobalEnv)
plot_dim <<- function(dim = c(NA, NA), scale = 1, units = c("in", "cm", "mm"),
limitsize = TRUE) {
units <- match.arg(units)
to_inches <- function(x) x / c(`in` = 1, cm = 2.54, mm = 2.54 * 10)[units]
from_inches <- function(x) x * c(`in` = 1, cm = 2.54, mm = 2.54 * 10)[units]
dim <- to_inches(dim) * scale
if (any(is.na(dim))) {
if (length(grDevices::dev.list()) == 0) {
default_dim <- c(7, 7)
} else {
default_dim <- dev.size() * scale
}
dim[is.na(dim)] <- default_dim[is.na(dim)]
dim_f <- prettyNum(from_inches(dim), digits = 3)
message("Saving ", dim_f[1], " x ", dim_f[2], " ", units, " image")
}
if (limitsize && any(dim >= 50)) {
stop("Dimensions exceed 50 inches (height and width are specified in '",
units, "' not pixels). If you're sure you a plot that big, use ",
"`limitsize = FALSE`.", call. = FALSE)
}
dim
}
plot_dev <<- function(device, filename, dpi = 300) {
if (is.function(device))
return(device)
eps <- function(...) {
grDevices::postscript(..., onefile = FALSE, horizontal = FALSE,
paper = "special")
}
devices <- list(
eps = eps,
ps = eps,
tex = function(...) grDevices::pictex(...),
pdf = function(..., version = "1.4") grDevices::pdf(..., version = version),
svg = function(...) grDevices::svg(...),
emf = function(...) grDevices::win.metafile(...),
wmf = function(...) grDevices::win.metafile(...),
png = function(...) grDevices::png(..., res = dpi, units = "in"),
jpg = function(...) grDevices::jpeg(..., res = dpi, units = "in"),
jpeg = function(...) grDevices::jpeg(..., res = dpi, units = "in"),
bmp = function(...) grDevices::bmp(..., res = dpi, units = "in"),
tiff = function(...) grDevices::tiff(..., res = dpi, units = "in")
)
if (is.null(device)) {
device <- tolower(tools::file_ext(filename))
}
if (!is.character(device) || length(device) != 1) {
stop("`device` must be NULL, a string or a function.", call. = FALSE)
}
dev <<- devices[[device]]
if (is.null(dev)) {
stop("Unknown graphics device '", device, "'", call. = FALSE)
}
dev
}
}
}
}
It basically overwrites the ggsave and creates two new functions from the development version.
After executing the function everything seems to work.
Fix for me was explicitly defining the file:
ggsave(file='test.pdf', b)
I am trying to plot a graph with price and a few technical indicators such as ADX, RSI, and OBV. I cannot figure out why addOBV is giving an error and why addADX not showing at all in the graph lines in the chart?
Here my code:
tmp <- read.csv(paste("ProcessedQuotes/",Nifty[x,],".csv", sep=""),
as.is=TRUE, header=TRUE, row.names=NULL)
tmp$Date<-as.Date(tmp$Date)
ydat = xts(tmp[,-1],tmp$Date)
lineChart(ydat, TA=NULL, name=paste(Nifty[x,]," Technical Graph"))
plot(addSMA(10))
plot(addEMA(10))
plot(addRSI())
plot(addADX())
plot(addOBV())
Error for addOBV is:
Error in try.xts(c(2038282, 1181844, -1114409, 1387404, 3522045, 4951254, :
Error in as.xts.double(x, ..., .RECLASS = TRUE) :
order.by must be either 'names()' or otherwise specified
Below you can see DIn is not shown fully in the graphs.
> class(ydat)
[1] "xts" "zoo"
> head(ydat)
Open High Low Close Volume Trades Sma20 Sma50 DIp DIn DX ADX aroonUp aroonDn oscillator macd signal RSI14
I don't know why that patch doesn't work for you, but you can just create a new function (or you could mask the one from quantmod). Let's just make a new, patched version called addOBV2 which is the code for addOBV except for the one patched line. (x <- as.matrix(lchob#xdata) is replaced with x <- try.xts(lchob#xdata, error=FALSE)).
addOBV2 <- function (..., on = NA, legend = "auto")
{
stopifnot("package:TTR" %in% search() || require("TTR", quietly = TRUE))
lchob <- quantmod:::get.current.chob()
x <- try.xts(lchob#xdata, error=FALSE)
#x <- as.matrix(lchob#xdata)
x <- OBV(price = Cl(x), volume = Vo(x))
yrange <- NULL
chobTA <- new("chobTA")
if (NCOL(x) == 1) {
chobTA#TA.values <- x[lchob#xsubset]
}
else chobTA#TA.values <- x[lchob#xsubset, ]
chobTA#name <- "chartTA"
if (any(is.na(on))) {
chobTA#new <- TRUE
}
else {
chobTA#new <- FALSE
chobTA#on <- on
}
chobTA#call <- match.call()
legend.name <- gsub("^.*[(]", " On Balance Volume (", deparse(match.call()))#,
#extended = TRUE)
gpars <- c(list(...), list(col=4))[unique(names(c(list(col=4), list(...))))]
chobTA#params <- list(xrange = lchob#xrange, yrange = yrange,
colors = lchob#colors, color.vol = lchob#color.vol, multi.col = lchob#multi.col,
spacing = lchob#spacing, width = lchob#width, bp = lchob#bp,
x.labels = lchob#x.labels, time.scale = lchob#time.scale,
isLogical = is.logical(x), legend = legend, legend.name = legend.name,
pars = list(gpars))
if (is.null(sys.call(-1))) {
TA <- lchob#passed.args$TA
lchob#passed.args$TA <- c(TA, chobTA)
lchob#windows <- lchob#windows + ifelse(chobTA#new, 1,
0)
chartSeries.chob <- quantmod:::chartSeries.chob
do.call("chartSeries.chob", list(lchob))
invisible(chobTA)
}
else {
return(chobTA)
}
}
Now it works.
# reproduce your data
ydat <- getSymbols("ZEEL.NS", src="yahoo", from="2012-09-11",
to="2013-01-18", auto.assign=FALSE)
lineChart(ydat, TA=NULL, name=paste("ZEEL Technical Graph"))
plot(addSMA(10))
plot(addEMA(10))
plot(addRSI())
plot(addADX())
plot(addOBV2())
This code reproduces the error:
library(quantmod)
getSymbols("AAPL")
lineChart(AAPL, 'last 6 months')
addOBV()
Session Info:
sessionInfo()
R version 2.15.0 (2012-03-30)
Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit)
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] quantmod_0.3-17 TTR_0.21-1 xts_0.9-1 zoo_1.7-9 Defaults_1.1-1 rgeos_0.2-11
[7] sp_1.0-5 sos_1.3-5 brew_1.0-6
loaded via a namespace (and not attached):
[1] grid_2.15.0 lattice_0.20-6 tools_2.15.0
Googling around, the error seems to be related to the fact that addOBV converts the data into a matrix, which causes problems with TTR::OBV. A patch has been posted on RForge.