troubleshooting object 'tibble_update_attrs' not found in R - r

I have been having troubles with R this morning, first reading in a .csv file, followed by trying to use GGPLOT2. To make sure it wasn't my code, I went to http://www.sthda.com/english/wiki/ggplot2-barplots-quick-start-guide-r-software-and-data-visualization and grabbed the following code:
df <- data.frame(dose=c("D0.5", "D1", "D2"),
len=c(4.2, 10, 29.5))
head(df)
library(ggplot2)
# Basic barplot
p<-ggplot(data=df, aes(x=dose, y=len)) +
geom_bar(stat="identity")
p
# Horizontal bar plot
p + coord_flip()
I can create the dataframe, but then get this error upon running the Basic Barplot code:
Error in update_tibble_attrs(x, ...) :
object 'tibble_update_attrs' not found
I updated packages, reinstalled GGPLOT2, restarted R-Studio and computer to no avail. Earlier today I was getting similar errors about tibbles when trying to build dataframes from scratch, and reading in .csv files.
I have Googled but have not found a relevant answer (or at least one that looks relevant).
How do I start troubleshooting this error?
Thanks!

I did the obvious and first used
traceback()
and learned that when using GGPLOT2 all this "tibble-stuff" goes on. I then:
install.packages("tibble")
and watched a number of errors fly by in the console. I then:
remove.packages("tibble")
install.packages("tibble")
and success! I now can make graphs in GGPLOT2 again.

Related

ggplot2 error: Error in default + theme : non-numeric argument to binary operator

I have been getting the error Error in default + theme : non-numeric argument to binary operator. I have been using R and teaching R for a long time but I can't find this problem. I have included a reproducible example that fails this way below:
library(tibble)
library(ggplot2)
brains <- as_tibble(brains)
brains <- brains[1:10, ]
brains
ggplot(brains, aes(x = BodyWt, y = BrainWt)) +
geom_point()
The error occurs when executing the ggplot() statement.
My hardware is an HP Laptop 15-ef0xxx. I am running Windows 10 Home version 2004. I am running RStudio community edition "Water Lily" and R version R x64** 4.0.2.
I know this is a simple error and it is driving me crazy.
So I finally solved this problem. On the github issue I had opened Hiroaki commented that "One possibility is that you might set a invalid default theme in your .Rprofile, but I'm not sure..." (see link to issue below).
I'm not sure if your R file is part of a project but mine is.
So I went back and deleted the theme_set() line in my R file, went in and double checked all my project options and selected the option "Disable .Rprofile execution on session start/resume" and "Quit child processes on exit". And then I restarted the R session and now everything works. Including on the default R editor console.
I'm not sure if all those steps are necessary but that seemed to do the trick for me! Hope it helps.
I thought this was an RStudio issue but it seems it's possibly a ggplot2 > problem. I have verified using two different datasets that the same >error comes up when I try using ggplot2 in RStudio or using the default R >console. I get the exact same error with code that's been working fine >but now suddenly won't. I have opened an issue on Github (ggplot2) with a >reprex. Might be worth checking there: >https://github.com/tidyverse/ggplot2/issues/4177
I know this is not an answer per se but I don't have enough reputation >points to add a comment to the previous answer but I thought linking to >the issue on Github might help.
I think you have numbers quoted somewhere and you are trying to perform mathematical operation on character values. Consider
x <- c("5","6")
y <- x/1
> y <- x/1
Error in x/1 : non-numeric argument to binary operator
Now try converting x to numeric and perform the same operation.
y <- as.numeric(x)/1
> y
[1] 5 6
So, you need to use as.numeric on your variable.
The following should resove this issue
ggplot(brains, aes(x = as.numeric(BodyWt), y = as.numeric(BrainWt)))

How to prevent program exits in R?

I am new to R and have a problem on running a ggplot command. Below is my code. The program exits immediately without showing the diagram. Is there anything wrong with my code?
#!/usr/bin/env Rscript
library(ggplot2)
data <- read.csv(file="./data/assignment-02-data.csv",head=TRUE,sep=",")
head(data)
nrow(data)
print(ggplot(data, aes(longitude, latitude)) + geom_point())
From this post: Generate multiple graphics from within an R function. It says that I need to print the value but it is not working.
I am running the program from shell ./myr.r.

Error in discrete_scale with unused argument when using ggplot2 and ggflags

I have a strange error when using the ggplot2 add-on package ggflags, one that only affects my work computer; at home I can write charts using ggflags with no issues.
The ggflags documentation is here: https://github.com/baptiste/ggflags
And this is the suggested example code:
library(ggplot2)
library(ggflags)
set.seed(1234)
d <- data.frame(x=rnorm(50), y=rnorm(50),
country=sample(c("ar","fr", "nz", "gb", "es", "ca"), 50, TRUE),
stringsAsFactors = FALSE)
ggplot(d, aes(x=x, y=y, country=country, size=x)) +
geom_flag() +
scale_country()
At home, this runs with no problem, reproducing the graph shown on the README on Github, however on my work machine I get the following error message:
Error in discrete_scale("country", "identity", scales::identity_pal(), :
unused argument (super = ScaleDiscreteIdentity)
This seems to be a fairly obscure error, and I am not finding any results on Stack Overflow to explain why this (pretty basic) bit of code will work on one machine and not on the other. I've tried uninstalling and reinstalling RStudio, as well as deleting and reinstalling the relevant packages from my package library, but I've had no joy in getting this package to work on my office machine. Any suggestions?

Color error in ggplot2 (Error in grDevices::col2rgb(colour, TRUE) : invalid RGB specification)

If I run:
library(ggplot2)
ToothGrowth$dose <- as.factor(ToothGrowth$dose)
bp<-ggplot(ToothGrowth, aes(x=dose, y=len, fill=dose)) +
geom_boxplot()
bp
I see the error: Error in grDevices::col2rgb(colour, TRUE) : invalid RGB specification.
If I run the identical code on my other computer, I get the expected plot. I am guessing that some plotting parameter is the culprit, but I have no idea how to find it. What's going wrong?
The computer that behaves strangely is Mac OS X 10_11_3 running R 3.2.2 via RStudio 0.99.489
Sorry I am late, but the problem is that the function alpha is masked form ggplot2, that's why if you restart R and happen to call alpha after sourcing psych but before ggplot2 it works.
Anyway, the way to solve it is to make explicit that we want the psych function:
reliability = psych::alpha(df)
Restarting R was sufficient to fix the weird behavior. Obviously should have tried that before posting...

Store output from gridExtra::grid.arrange into an object

I am placing multiple plots into one image using gridExtra::grid.arrange and would like to have the option of saving the combined plot as an object that could be returned from within a function as part of a list of returned objects. Ideally, I would like to do this without printing the plot object.
The code below creates two plots, combines them with grid.arrange, and attempts to save the result into x. However, x evaluates to NULL and the plot is printed. The documentation for grid.arrange points me to arrangeGrob and suggests plotting can be turned off using plot=FALSE, but I get an error when I try that because FALSE is not a grob object.
Any suggestions for what I'm not understanding?
# R under development
# Windows 7 (32 bit)
# ggplot2 1.0.0
# gridExtra 0.9.1
p1 <- ggplot(mtcars, aes(x=factor(cyl), y=mpg)) + geom_boxplot()
p2 <- ggplot(mtcars, aes(x=factor(cyl), y=wt)) + geom_boxplot()
x <- gridExtra::grid.arrange(p1, p2)
x
Per the comments, I'm adding this edit. When I try it with arrangeGrob, I get no output at all.
> gridExtra::arrangeGrob(p1, p2)
> print(gridExtra::arrangeGrob(p1, p2))
Error: No layers in plot
> x <- gridExtra::arrangeGrob(p1, p2)
> x
Error: No layers in plot
The code in your edit does not work properly since you didn't load gridExtra.
library(gridExtra)
y <- arrangeGrob(p1, p2, ncol = 1)
class(y)
#[1] "gtable" "grob" "gDesc"
grid.draw(y)
Edit: since version 2.0.0, my comment about grid dependency below is no longer valid, since grid is now imported.
Edit: With gridExtra version >= 2.0.0, there is no need to attach either package,
p <- ggplot2::qplot(1,1)
x <- gridExtra::arrangeGrob(p, p)
grid::grid.draw(x)
Funny that this was asked so recently - I was running into this problem as well this week and was able to solve it in a bit of a hacky way, but I couldn't find any other solution I was happier with.
Problem 1: ggplotGrob is not found
I had to make sure ggplot2 is loaded. I don't completely understand what's happening (I admit I don't fully understand imports/depends/attaching/etc), but the following fixes that. I'd be open to feedback if this is very dangerous.
if (!"package:ggplot2" %in% search()) {
suppressPackageStartupMessages(attachNamespace("ggplot2"))
on.exit(detach("package:ggplot2"))
}
Somebody else linked to this blog post and I think that works as well, but from my (non-complete) understanding, this solution is less horrible. I think.
Problem 2: no layers in plot
As you discovered too, fixing that problem allows us to use grid.arrange, but that returns NULL and doesn't allow saving to an object. So I also wanted to use arrangeGrob but I also ran into the above error when gridExtra was not already loaded. Applying the fix from problem 1 again doesn't seem to work (maybe the package is getting de-attached too early?). BUT I noticed that calling grid::grid.draw on the result of arrangeGrob prints it fine without error. So I added a custom class to the output of arrangeGrob and added a generic print method that simply calls grid.draw
f <- function() {
plot <- gridExtra::arrangeGrob(...)
class(plot) <- c("ggExtraPlot", class(plot))
plot
}
print.ggExtraPlot <- function(x, ...) {
grid::grid.draw(x)
}
Hooray, now I can open a fresh R session with no packages explicitly loaded, and I can successfully call a function that creates a grob and print it later!
You can see the code in action in my package on GitHub.

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