I have experiencing a weird problem with the 'plot' function of the 'raster' package.
library(raster)
ras <- raster(ncol=10, nrow=10)
EDIT
values(ras) <- runif(ncell(ras))
END EDIT
plot(ras)
Erreur dans as.double(y) :
cannot coerce type 'S4' to vector of type 'double'
For what I have read on the net, this error depends on the user, and probably depends on the loaded packages. In my case, the problem comes from the fact that r uses the standard 'plot' method from the 'graphics' package, when it should use the specific 'raster' method since 'ras' is a rasterLayer object. However, for a reason I do not understand, 'plot' is not imported in the 'raster' namespace, while all the other functions are.
> raster::plot
Erreur : 'plot' n'est pas un objet exporté depuis 'namespace:raster'
To be compared with :
raster::persp
standardGeneric for "persp" defined from package "graphics"
function (x, ...)
standardGeneric("persp")
<environment: 0x0cd9eb80>
Methods may be defined for arguments: x
Use showMethods("persp") for currently available ones.
Since I do not completely understand how namespaces behave, I am looking for your help ! Is this kind of situation familiar for you, and do you have a way to solve it ? In the meantime, do you know a function to display the content of a namespace (so I could check the content of the raster namespace step by step) ?
PS: I am using R 2.15.2 with RStudio, many packages loaded but all are up to date.
sessionInfo()
R version 2.15.0 (2012-03-30)
Platform: i386-pc-mingw32/i386 (32-bit)
locale:
[1] LC_COLLATE=French_Belgium.1252 LC_CTYPE=French_Belgium.1252 LC_MONETARY=French_Belgium.1252 LC_NUMERIC=C
[5] LC_TIME=French_Belgium.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] raster_2.0-41 sp_1.0-5
loaded via a namespace (and not attached):
[1] grid_2.15.0 hexbin_1.26.0 intervals_0.13.3 lattice_0.20-6 rgdal_0.8-4 spacetime_1.0-3 spam_0.29-2 tools_2.15.0
[9] xts_0.9-2 zoo_1.7-9
Thanks you,
François
Using this you get all the list of object of package raster
basevals <- ls(pos="package:raster")
for example
which(basevals == 'persp') ## function persp shows up because it is the exported generic.
141
which(basevals == 'plot') ## no function plot
integer(0)
No when I do this , it works for me:
library(raster)
r <- raster(ncol=10, nrow=10)
values(r) <- runif(ncell(r))
plot(r, main='Raster with 100 cells')
So There is certainly a plot method here. It is not in the previous list "basevals" beacuse it is an S4 method.
To get the plot method of raster package , try this :
getMethod('plot',signature=signature(x='Raster', y='ANY'))
or more efficiently using
findMethods("plot", "package:raster").
This sometimes happens when you have a stale session (typically caused by loading an old session at startup), that goes away if you start a fresh R session (without loading previously saved sessions).
I had the same problem and re-installing the raster package fixed it.
install.packages("raster")
For me, what resolved this S4 class namespace issue was to add the raster package as a Dependency. Hence, using the attach() function should also work, as that is what dependencies do. I know that is not an ideal solution, but hey, it's a statistics language ;)
I've been running in the same error, also using RStudio.
My issues was that I loaded the raster package via library(raster) in the .Rprofile file of my project. But code in Rprofile gets loaded before anything else, so the graphics package (containing the plot generic) is loaded after raster, causing the problems.
Solution: Put library(graphics) before library(raster) in Rprofile, and it worked for me.
Related
I'd like to unload a package without having to restart R (mostly because restarting R as I try out different, conflicting packages is getting frustrating, but conceivably this could be used in a program to use one function and then another--although namespace referencing is probably a better idea for that use).
?library doesn't show any options that would unload a package.
There is a suggestion that detach can unload package, but the following both fail:
detach(vegan)
Error in detach(vegan) : invalid name argument
detach("vegan")
Error in detach("vegan") : invalid name argument
So how do I unload a package?
Try this (see ?detach for more details):
detach("package:vegan", unload=TRUE)
It is possible to have multiple versions of a package loaded at once (for example, if you have a development version and a stable version in different libraries). To guarantee that all copies are detached, use this function.
detach_package <- function(pkg, character.only = FALSE)
{
if(!character.only)
{
pkg <- deparse(substitute(pkg))
}
search_item <- paste("package", pkg, sep = ":")
while(search_item %in% search())
{
detach(search_item, unload = TRUE, character.only = TRUE)
}
}
Usage is, for example
detach_package(vegan)
or
detach_package("vegan", TRUE)
You can also use the unloadNamespace command, as in:
unloadNamespace("sqldf")
The function detaches the namespace prior to unloading it.
You can uncheck the checkbox button in RStudio (packages).
I tried what kohske wrote as an answer and I got error again, so I did some search and found this which worked for me (R 3.0.2):
require(splines) # package
detach(package:splines)
or also
library(splines)
pkg <- "package:splines"
detach(pkg, character.only = TRUE)
When you are going back and forth between scripts it may only sometimes be necessary to unload a package. Here's a simple IF statement that will prevent warnings that would appear if you tried to unload a package that was not currently loaded.
if("package:vegan" %in% search()) detach("package:vegan", unload=TRUE)
Including this at the top of a script might be helpful.
I hope that makes your day!
detach(package:PackageName) works and there is no need to use quotes.
Another option is
devtools::unload("your-package")
This apparently also deals with the issue of registered S3 methods that are not removed with unloadNamespace()
You can try all you want to remove a package (and all the dependencies it brought in alongside) using unloadNamespace() but the memory footprint will still persist. And no, detach("package:,packageName", unload=TRUE, force = TRUE) will not work either.
From a fresh new console or Session > Restart R check memory with the pryr package:
pryr::mem_used()
# 40.6 MB ## This will depend on which packages are loaded obviously (can also fluctuate a bit after the decimal)
Check my sessionInfo()
R version 3.6.1 (2019-07-05)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17763)
Matrix products: default
locale:
[1] LC_COLLATE=English_Canada.1252 LC_CTYPE=English_Canada.1252 LC_MONETARY=English_Canada.1252 LC_NUMERIC=C
[5] LC_TIME=English_Canada.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] compiler_3.6.1 pryr_0.1.4 magrittr_1.5 tools_3.6.1 Rcpp_1.0.3 stringi_1.4.3 codetools_0.2-16 stringr_1.4.0
[9] packrat_0.5.0
Let's load the Seurat package and check the new memory footprint:
library(Seurat)
pryr::mem_used()
# 172 MB ## Likely to change in the future but just to give you an idea
Let's use unloadNamespace() to remove everything:
unloadNamespace("Seurat")
unloadNamespace("ape")
unloadNamespace("cluster")
unloadNamespace("cowplot")
unloadNamespace("ROCR")
unloadNamespace("gplots")
unloadNamespace("caTools")
unloadNamespace("bitops")
unloadNamespace("fitdistrplus")
unloadNamespace("RColorBrewer")
unloadNamespace("sctransform")
unloadNamespace("future.apply")
unloadNamespace("future")
unloadNamespace("plotly")
unloadNamespace("ggrepel")
unloadNamespace("ggridges")
unloadNamespace("ggplot2")
unloadNamespace("gridExtra")
unloadNamespace("gtable")
unloadNamespace("uwot")
unloadNamespace("irlba")
unloadNamespace("leiden")
unloadNamespace("reticulate")
unloadNamespace("rsvd")
unloadNamespace("survival")
unloadNamespace("Matrix")
unloadNamespace("nlme")
unloadNamespace("lmtest")
unloadNamespace("zoo")
unloadNamespace("metap")
unloadNamespace("lattice")
unloadNamespace("grid")
unloadNamespace("httr")
unloadNamespace("ica")
unloadNamespace("igraph")
unloadNamespace("irlba")
unloadNamespace("KernSmooth")
unloadNamespace("leiden")
unloadNamespace("MASS")
unloadNamespace("pbapply")
unloadNamespace("plotly")
unloadNamespace("png")
unloadNamespace("RANN")
unloadNamespace("RcppAnnoy")
unloadNamespace("tidyr")
unloadNamespace("dplyr")
unloadNamespace("tibble")
unloadNamespace("RANN")
unloadNamespace("tidyselect")
unloadNamespace("purrr")
unloadNamespace("htmlwidgets")
unloadNamespace("htmltools")
unloadNamespace("lifecycle")
unloadNamespace("pillar")
unloadNamespace("vctrs")
unloadNamespace("rlang")
unloadNamespace("Rtsne")
unloadNamespace("SDMTools")
unloadNamespace("Rdpack")
unloadNamespace("bibtex")
unloadNamespace("tsne")
unloadNamespace("backports")
unloadNamespace("R6")
unloadNamespace("lazyeval")
unloadNamespace("scales")
unloadNamespace("munsell")
unloadNamespace("colorspace")
unloadNamespace("npsurv")
unloadNamespace("compiler")
unloadNamespace("digest")
unloadNamespace("R.utils")
unloadNamespace("pkgconfig")
unloadNamespace("gbRd")
unloadNamespace("parallel")
unloadNamespace("gdata")
unloadNamespace("listenv")
unloadNamespace("crayon")
unloadNamespace("splines")
unloadNamespace("zeallot")
unloadNamespace("reshape")
unloadNamespace("glue")
unloadNamespace("lsei")
unloadNamespace("RcppParallel")
unloadNamespace("data.table")
unloadNamespace("viridisLite")
unloadNamespace("globals")
Now check sessionInfo():
R version 3.6.1 (2019-07-05)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17763)
Matrix products: default
locale:
[1] LC_COLLATE=English_Canada.1252 LC_CTYPE=English_Canada.1252 LC_MONETARY=English_Canada.1252 LC_NUMERIC=C
[5] LC_TIME=English_Canada.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] tools_3.6.1 stringr_1.4.0 rstudioapi_0.10 pryr_0.1.4 jsonlite_1.6 gtools_3.8.1 R.oo_1.22.0
[8] magrittr_1.5 Rcpp_1.0.3 R.methodsS3_1.7.1 stringi_1.4.3 plyr_1.8.4 reshape2_1.4.3 codetools_0.2-16
[15] packrat_0.5.0 assertthat_0.2.1
Check the memory footprint:
pryr::mem_used()
# 173 MB
Link to screen-cast demonstration
Note also that you can only use unload() once. If you use it a second time without rerunning library(), y'll get the not very informative error message invalid 'name' argument:
library(vegan)
#> Loading required package: permute
#> Loading required package: lattice
#> This is vegan 2.5-6
detach("package:vegan", unload=TRUE)
detach("package:vegan", unload=TRUE)
#> Error in detach("package:vegan", unload = TRUE): invalid 'name' argument
Created on 2020-05-09 by the reprex package (v0.3.0)
I would like to add an alternative solution. This solution does not directly answer your question on unloading a package but, IMHO, provides a cleaner alternative to achieve your desired goal, which I understand, is broadly concerned with avoiding name conflicts and trying different functions, as stated:
mostly because restarting R as I try out different, conflicting packages is getting frustrating, but conceivably this could be used in a program to use one function and then another--although namespace referencing is probably a better idea for that use
Solution
Function with_package offered via the withr package offers the possibility to:
attache a package to the search path, executes the code, then removes the package from the search path. The package namespace is not unloaded, however.
Example
library(withr)
with_package("ggplot2", {
ggplot(mtcars) + geom_point(aes(wt, hp))
})
# Calling geom_point outside withr context
exists("geom_point")
# [1] FALSE
geom_point used in the example is not accessible from the global namespace. I reckon it may be a cleaner way of handling conflicts than loading and unloading packages.
Just go to OUTPUT window, then click on Packages icon (it is located between Plot and Help icons). Remove "tick / check mark" from the package you wanted be unload.
For again using the package just put a "tick or Check mark" in front of package or use :
library (lme4)
Connected with #tjebo answer.
TL;DR
Please use pkgload:::unload instead of devtools::unload as they are the same function (1 to 1) and pkgload is a much lighter package (nr of dependencies). devtools simply reexporting the pkgload:::unload function.
Unfortunately devtools is a huge dependency (as devtools has a lot of own dependencies), which is more development stage targeted. So if you want to use the unload function in your own package or you care about library size please remember to use pkgload:::unload instead of devtools::unload. devtools simply reexporting the pkgload:::unload function.
Please check the footer of the devtools::unload function to quickly confirm the reexport or go to the github repo
> devtools::unload
function (package = pkg_name(), quiet = FALSE)
{
if (package == "compiler") {
oldEnable <- compiler::enableJIT(0)
if (oldEnable != 0) {
warning("JIT automatically disabled when unloading the compiler.")
}
}
if (!package %in% loadedNamespaces()) {
stop("Package ", package, " not found in loaded packages or namespaces")
}
unregister_methods(package)
unloaded <- tryCatch({
unloadNamespace(package)
TRUE
}, error = function(e) FALSE)
if (!unloaded) {
unload_pkg_env(package)
unregister_namespace(package)
}
clear_cache()
unload_dll(package)
}
<bytecode: 0x11a763280>
<environment: namespace:pkgload>
I was working in the mirt package in R and noticed that I couldn't use mirt:: or mirt::: to call the coef or residuals functions. From what I can tell this is a S3 to S4 difference (magic fingers & hand waving).
Which brings me to the question, how do you call a specific R function within it's package when it's coded in S4?
After
> library(mirt)
Loading required package: stats4
Loading required package: lattice
I see
> methods(coef)
[1] coef,ANY-method coef,DiscreteClass-method
[3] coef,MixedClass-method coef,mle-method
[5] coef,MultipleGroupClass-method coef,SingleGroupClass-method
[7] coef,summary.mle-method coef.aov*
[9] coef.Arima* coef.default*
[11] coef.listof* coef.nls*
see '?methods' for accessing help and source code
I guess you have an instance of one of the classes, e.g., 'DiscreteClass'. You can select the method with
selectMethod("coef", signature="DiscreteClass")
or maybe more naturally
selectMethod("coef", class(obj))
where obj is an instance of the object you're interested in. But you shouldn't have to call a specific method; this should be taken care of -- what's the problem you're actually experiencing.
I just downloaded the package Quantmod and have been playing with getSymbols. I want to be able to get data for multiple stocks as in this question: getSymbols and using lapply, Cl, and merge to extract close prices.
Unfortuantely, when I try to duplicate the answer:
tickers <- c("SPY","DIA","IWM","SMH","OIH","XLY",
"XLP","XLE","XLI","XLB","XLK","XLU")
getSymbols(tickers, from="2001-03-01", to="2011-03-11")
I get the following error message:
Error in download.file(paste(yahoo.URL, "s=", Symbols.name, "&a=", from.m, :
cannot open URL
'http://chart.yahoo.com/table.csv?s=SPY&a=2&b=01&c=2001&d=2&e=11&f=2011&g=d&q=q&y=0&z=SPY&x=.csv'
In addition: Warning message:
In download.file(paste(yahoo.URL, "s=", Symbols.name, "&a=", from.m,
: cannot open: HTTP status was '0 (null)'
Here is my sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: x86_64-apple-darwin10.8.0 (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_0.4-0 TTR_0.22-0 xts_0.9-7 zoo_1.7-10 Defaults_1.1-1
loaded via a namespace (and not attached):
[1] grid_3.0.2 lattice_0.20-23 tools_3.0.2
EDIT: In response to OP's comment:
So the bottom line seems to be that sites which provide free downloads of historical data are quirky, to say the least. They do not necessarily work for all valid symbols, and sometimes they become unavailable for no apparent reason. ichart.yahoo.com/table.csv worked for me 24 hours ago, but does not work (for me) at the moment. This may be because Yahoo has imposed a 24 hour lockout on my IP, which they will do if they detect activity interpretable as a DDOS attack. Or it might be for some other reason...
The updated code below, which queries Google, does work (again, at the moment), for everything except DJIA. Note that there is more success if you specify the exchange and the symbol (EXCHANGE:SYMBOL). I was unable to download SMH without the exchange. Finally, if your are having problems try uncommenting the print statement and pasting the url into a browser to see what happens.
tickers <- c("SPY","DJIA","IWM","NYSEARCA:SMH","OIH","XLY",
"XLP","XLE","XLI","XLB","XLK","XLU")
g <- function(x,from,to,output="csv") {
uri <- "http://www.google.com/finance/historical"
q.symbol <- paste("q",x,sep="=")
q.from <- paste("startdate",from,sep="=")
q.to <- paste("enddate",to,sep="=")
q.output <- paste("output",output,sep="=")
query <- paste(q.symbol,q.output,q.from,q.to,sep="&")
url <- paste(uri,query,sep="?")
# print(url)
try(assign(x,read.csv(url),envir=.GlobalEnv))
}
lapply(tickers,g,from="2001-03-01",to="2011-03-11",output="csv")
You can download DJI from the St. Louis Fed, which is very reliable. Unfortunately, you get all of it (from 1896), and it's a time series.
getSymbols("DJIA",src="FRED")
Original Response:
This worked for me, for everything except SMH and OIH.
tickers <- c("SPY","DJIA","IWM","SMH","OIH","XLY",
"XLP","XLE","XLI","XLB","XLK","XLU")
f <- function(x) {
uri <- "http://ichart.yahoo.com/table.csv"
symbol <- paste("s",x,sep="=")
from <- "a=2&b=1&c=2001"
to <- "d=2&e=11&f=2011"
period <- "g=d"
ignore <- "ignore=.csv"
query <- paste(symbol,from,to,period,ignore,sep="&")
url <- paste(uri,query,sep="?")
try(assign(x,read.csv(url),envir=.GlobalEnv))
}
lapply(tickers,f)
The main difference between this and getSymbols(...) is that this uses ichart.yahoo.com (as documented here), whereas getSymbols(...) uses chart.yahoo.com. The former seems to be much more reliable. In my experience, using getSymbols(...) with Yahoo is a monumental headache.
If the suggestion of #user2492310, to use src="google" works for you, then clearly this is the way to go. It didn't work for me.
One other note: SMH and OIH did not exist in 2001. The others all go back to at least 2000. So it might be that ichart.yahoo.com (and chart.yahoo.com) throws an error if you provide a date range outside of the symbol's operating range.
learning how to compute tasks in R for large data sets (more than 1 or 2 GB), I am trying to use ff package and ffdfdply function.
(See this link on how to use ffdfdply: R language: problems computing "group by" or split with ff package )
My data have the following columns:
"id" "birth_date" "diagnose" "date_diagnose"
There are several rows for each "id", and I want to extract the first date where there was a diagnose.
I would apply this :
library(ffbase)
library(plyr)
load(file=file_name); # to load my ffdf database, called data.f .
my_fun <- function(x){
ddply( x , .(id), summarize,
age = min(date_diagnose - birth_date, na.rm=TRUE))
}
result <- ffdfdply(x = data.f, split = data.f$id,
FUN = function(x) my_fun(x) , trace=TRUE) ;
result[1:10,] # to check....
It is very strange, but this command: ffdfdply(x = data.f, .... ) is making RStudio (and R) crash. Sometimes the same command will crash R and sometimes not.
For example, if I trigger again the ffdfdply line (which worked the first time), R will crash.
Also using other functions, data, etc. will have the same effect. There is no memory increase, or anything into log.txt.
Same behaviour when applying the summaryBy "technique"....
So if anybody has the same problem and found the solution, that would be very helpful.
Also ffdfdply gets very slow (slower than SAS...) , and I am thinking about making another strategy to make this kind of tasks.
Is ffdfdply taking into account that for example the data set is ordered by id? (so it does not have to look into all the data to take the same ids... ).
So, if anybody knows other approaches to this ddply problem, it would be really great for all the "large data sets in R with low RAM memory" users.
This is my sessionInfo()
R version 2.15.2 (2012-10-26)
Platform: i386-w64-mingw32/i386 (32-bit)
locale:
[1] LC_COLLATE=Danish_Denmark.1252 LC_CTYPE=Danish_Denmark.1252
[3] LC_MONETARY=Danish_Denmark.1252 LC_NUMERIC=C
[5] LC_TIME=Danish_Denmark.1252
attached base packages:
[1] tools stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] plyr_1.7.1 ffbase_0.6-1 ff_2.2-10 bit_1.1-9
I also noticed this when using the package which we uploaded to CRAN recently. It seems to be caused by overloading in package ffbase the "[.ff" and "[<-.ff" extractor and setter functions from package ff.
I will remove this feature from the package and will upload it to CRAN soon. In the mean time, you can use the version 0.7 of ffbase, which you can get here:
http://dl.dropbox.com/u/25690064/ffbase_0.7.tar.gz
and install it as:
download.file("http://dl.dropbox.com/u/25690064/ffbase_0.7.tar.gz", "ffbase_0.7.tar.gz")
shell("R CMD INSTALL ffbase_0.7.tar.gz")
Let me know if that helped.
I'd like to unload a package without having to restart R (mostly because restarting R as I try out different, conflicting packages is getting frustrating, but conceivably this could be used in a program to use one function and then another--although namespace referencing is probably a better idea for that use).
?library doesn't show any options that would unload a package.
There is a suggestion that detach can unload package, but the following both fail:
detach(vegan)
Error in detach(vegan) : invalid name argument
detach("vegan")
Error in detach("vegan") : invalid name argument
So how do I unload a package?
Try this (see ?detach for more details):
detach("package:vegan", unload=TRUE)
It is possible to have multiple versions of a package loaded at once (for example, if you have a development version and a stable version in different libraries). To guarantee that all copies are detached, use this function.
detach_package <- function(pkg, character.only = FALSE)
{
if(!character.only)
{
pkg <- deparse(substitute(pkg))
}
search_item <- paste("package", pkg, sep = ":")
while(search_item %in% search())
{
detach(search_item, unload = TRUE, character.only = TRUE)
}
}
Usage is, for example
detach_package(vegan)
or
detach_package("vegan", TRUE)
You can also use the unloadNamespace command, as in:
unloadNamespace("sqldf")
The function detaches the namespace prior to unloading it.
You can uncheck the checkbox button in RStudio (packages).
I tried what kohske wrote as an answer and I got error again, so I did some search and found this which worked for me (R 3.0.2):
require(splines) # package
detach(package:splines)
or also
library(splines)
pkg <- "package:splines"
detach(pkg, character.only = TRUE)
When you are going back and forth between scripts it may only sometimes be necessary to unload a package. Here's a simple IF statement that will prevent warnings that would appear if you tried to unload a package that was not currently loaded.
if("package:vegan" %in% search()) detach("package:vegan", unload=TRUE)
Including this at the top of a script might be helpful.
I hope that makes your day!
detach(package:PackageName) works and there is no need to use quotes.
Another option is
devtools::unload("your-package")
This apparently also deals with the issue of registered S3 methods that are not removed with unloadNamespace()
You can try all you want to remove a package (and all the dependencies it brought in alongside) using unloadNamespace() but the memory footprint will still persist. And no, detach("package:,packageName", unload=TRUE, force = TRUE) will not work either.
From a fresh new console or Session > Restart R check memory with the pryr package:
pryr::mem_used()
# 40.6 MB ## This will depend on which packages are loaded obviously (can also fluctuate a bit after the decimal)
Check my sessionInfo()
R version 3.6.1 (2019-07-05)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17763)
Matrix products: default
locale:
[1] LC_COLLATE=English_Canada.1252 LC_CTYPE=English_Canada.1252 LC_MONETARY=English_Canada.1252 LC_NUMERIC=C
[5] LC_TIME=English_Canada.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] compiler_3.6.1 pryr_0.1.4 magrittr_1.5 tools_3.6.1 Rcpp_1.0.3 stringi_1.4.3 codetools_0.2-16 stringr_1.4.0
[9] packrat_0.5.0
Let's load the Seurat package and check the new memory footprint:
library(Seurat)
pryr::mem_used()
# 172 MB ## Likely to change in the future but just to give you an idea
Let's use unloadNamespace() to remove everything:
unloadNamespace("Seurat")
unloadNamespace("ape")
unloadNamespace("cluster")
unloadNamespace("cowplot")
unloadNamespace("ROCR")
unloadNamespace("gplots")
unloadNamespace("caTools")
unloadNamespace("bitops")
unloadNamespace("fitdistrplus")
unloadNamespace("RColorBrewer")
unloadNamespace("sctransform")
unloadNamespace("future.apply")
unloadNamespace("future")
unloadNamespace("plotly")
unloadNamespace("ggrepel")
unloadNamespace("ggridges")
unloadNamespace("ggplot2")
unloadNamespace("gridExtra")
unloadNamespace("gtable")
unloadNamespace("uwot")
unloadNamespace("irlba")
unloadNamespace("leiden")
unloadNamespace("reticulate")
unloadNamespace("rsvd")
unloadNamespace("survival")
unloadNamespace("Matrix")
unloadNamespace("nlme")
unloadNamespace("lmtest")
unloadNamespace("zoo")
unloadNamespace("metap")
unloadNamespace("lattice")
unloadNamespace("grid")
unloadNamespace("httr")
unloadNamespace("ica")
unloadNamespace("igraph")
unloadNamespace("irlba")
unloadNamespace("KernSmooth")
unloadNamespace("leiden")
unloadNamespace("MASS")
unloadNamespace("pbapply")
unloadNamespace("plotly")
unloadNamespace("png")
unloadNamespace("RANN")
unloadNamespace("RcppAnnoy")
unloadNamespace("tidyr")
unloadNamespace("dplyr")
unloadNamespace("tibble")
unloadNamespace("RANN")
unloadNamespace("tidyselect")
unloadNamespace("purrr")
unloadNamespace("htmlwidgets")
unloadNamespace("htmltools")
unloadNamespace("lifecycle")
unloadNamespace("pillar")
unloadNamespace("vctrs")
unloadNamespace("rlang")
unloadNamespace("Rtsne")
unloadNamespace("SDMTools")
unloadNamespace("Rdpack")
unloadNamespace("bibtex")
unloadNamespace("tsne")
unloadNamespace("backports")
unloadNamespace("R6")
unloadNamespace("lazyeval")
unloadNamespace("scales")
unloadNamespace("munsell")
unloadNamespace("colorspace")
unloadNamespace("npsurv")
unloadNamespace("compiler")
unloadNamespace("digest")
unloadNamespace("R.utils")
unloadNamespace("pkgconfig")
unloadNamespace("gbRd")
unloadNamespace("parallel")
unloadNamespace("gdata")
unloadNamespace("listenv")
unloadNamespace("crayon")
unloadNamespace("splines")
unloadNamespace("zeallot")
unloadNamespace("reshape")
unloadNamespace("glue")
unloadNamespace("lsei")
unloadNamespace("RcppParallel")
unloadNamespace("data.table")
unloadNamespace("viridisLite")
unloadNamespace("globals")
Now check sessionInfo():
R version 3.6.1 (2019-07-05)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17763)
Matrix products: default
locale:
[1] LC_COLLATE=English_Canada.1252 LC_CTYPE=English_Canada.1252 LC_MONETARY=English_Canada.1252 LC_NUMERIC=C
[5] LC_TIME=English_Canada.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] tools_3.6.1 stringr_1.4.0 rstudioapi_0.10 pryr_0.1.4 jsonlite_1.6 gtools_3.8.1 R.oo_1.22.0
[8] magrittr_1.5 Rcpp_1.0.3 R.methodsS3_1.7.1 stringi_1.4.3 plyr_1.8.4 reshape2_1.4.3 codetools_0.2-16
[15] packrat_0.5.0 assertthat_0.2.1
Check the memory footprint:
pryr::mem_used()
# 173 MB
Link to screen-cast demonstration
Note also that you can only use unload() once. If you use it a second time without rerunning library(), y'll get the not very informative error message invalid 'name' argument:
library(vegan)
#> Loading required package: permute
#> Loading required package: lattice
#> This is vegan 2.5-6
detach("package:vegan", unload=TRUE)
detach("package:vegan", unload=TRUE)
#> Error in detach("package:vegan", unload = TRUE): invalid 'name' argument
Created on 2020-05-09 by the reprex package (v0.3.0)
I would like to add an alternative solution. This solution does not directly answer your question on unloading a package but, IMHO, provides a cleaner alternative to achieve your desired goal, which I understand, is broadly concerned with avoiding name conflicts and trying different functions, as stated:
mostly because restarting R as I try out different, conflicting packages is getting frustrating, but conceivably this could be used in a program to use one function and then another--although namespace referencing is probably a better idea for that use
Solution
Function with_package offered via the withr package offers the possibility to:
attache a package to the search path, executes the code, then removes the package from the search path. The package namespace is not unloaded, however.
Example
library(withr)
with_package("ggplot2", {
ggplot(mtcars) + geom_point(aes(wt, hp))
})
# Calling geom_point outside withr context
exists("geom_point")
# [1] FALSE
geom_point used in the example is not accessible from the global namespace. I reckon it may be a cleaner way of handling conflicts than loading and unloading packages.
Just go to OUTPUT window, then click on Packages icon (it is located between Plot and Help icons). Remove "tick / check mark" from the package you wanted be unload.
For again using the package just put a "tick or Check mark" in front of package or use :
library (lme4)
Connected with #tjebo answer.
TL;DR
Please use pkgload:::unload instead of devtools::unload as they are the same function (1 to 1) and pkgload is a much lighter package (nr of dependencies). devtools simply reexporting the pkgload:::unload function.
Unfortunately devtools is a huge dependency (as devtools has a lot of own dependencies), which is more development stage targeted. So if you want to use the unload function in your own package or you care about library size please remember to use pkgload:::unload instead of devtools::unload. devtools simply reexporting the pkgload:::unload function.
Please check the footer of the devtools::unload function to quickly confirm the reexport or go to the github repo
> devtools::unload
function (package = pkg_name(), quiet = FALSE)
{
if (package == "compiler") {
oldEnable <- compiler::enableJIT(0)
if (oldEnable != 0) {
warning("JIT automatically disabled when unloading the compiler.")
}
}
if (!package %in% loadedNamespaces()) {
stop("Package ", package, " not found in loaded packages or namespaces")
}
unregister_methods(package)
unloaded <- tryCatch({
unloadNamespace(package)
TRUE
}, error = function(e) FALSE)
if (!unloaded) {
unload_pkg_env(package)
unregister_namespace(package)
}
clear_cache()
unload_dll(package)
}
<bytecode: 0x11a763280>
<environment: namespace:pkgload>