I want to create a lognormal (or other distribution) probability plot in R (for R-studio). I have looked around on the web for an example but none of the examples tell me what package I need to install in order to use the function.
logn_prob_plot <- function()
{
x<-rlnorm(10,5,1)
x
probplot(x,qdist=qlnorm,xlab="failure time",ylab="lognormal probability")
}
Error in probplot(x, qdist = qlnorm, xlab = "failure time", ylab = "lognormal probability") : could not find function "probplot"
Writing up the comment thread as an answer:
The error (could not find function "probplot") is showing up because a necessary package is not installed. It's not specifically related to creating a probability plot.
Googling "r probplot" turns up the documentation for the package e1071, which is available in CRAN.
The package can be installed by entering install.packages("e1071") in your terminal or by selecting Tools -> Install Packages in the RStudio GUI. You can then load that package using library("e1071").
Related
I am trying to use the function accumcomp.long in the Biodiversity.R package in order to adjust my species accumulation curves in ggplot.
However, calling the function accumcomp.long gives me an error, suggesting that this function perhaps does no longer exists.
accum.long1 <- accumcomp.long(Accum.1, ci=NA, label.freq=5)
Error in accumcomp.long(Accum.1, ci = NA, label.freq = 5) :
could not find function "accumcomp.long"
The function BiodiversityR::accumcomp.long
returns
Error: 'accumcomp.long' is not an exported object from 'namespace:BiodiversityR'
I am not certain whether this is an issue with the package, the way the package is loaded into my R space, or perhaps unrelated to the package simply the format of my data.
My community and environment files are of dataframe class. I have tried loading them as .csv files as well as .rda files, but the error remains.
??accumcomp.long
renders "No results found".
I am using R version 3.5.3 (2019-03-11)
Any suggestions as to what else I could try?
Thanks in advance!
I re-installed the package BiodiversityR and included force = T (as per this thread https://community.rstudio.com/t/could-not-find-function-error-even-though-fun-is-in-namespace-and-has-an-rd-file/91243). I then reloaded the package. I am not sure what force = T does, but the accumcomp.long function now works.
I want to plot a ROC curve using the ROCR package in R. I am trying to install the required package but unable to install it. Is there any alternate way of plotting the ROC curve?
There are some awesome packages for creating ROC Plots and Curves. The three most popular packages are pROC, ROCR and PPROC.
Each package has a different method for generating the plot. Here is a good website to see how to do it for each of these six packages: Some R Packages for ROC Curves.
Here is a good way to see which packages are the most popular:
library(dlstats)
library(dplyr)
shortList <- c("pROC","precrec","ROCit","PRROC","ROCR","plotROC")
downloads <- cran_stats(shortList)
ggplot(downloads, aes(end, downloads, group=package, color=package)) +
geom_line() +
geom_point(aes(shape=package)) +
scale_y_continuous(trans = 'log2') +
scale_x_date(date_labels="%Y", breaks="years") +
labs(title="Downloads Per Package Over Time"
,y="Downloads Per Month (log2)"
,x="Time"
,caption="Souce: \'https://cranlogs.r-pkg.org/downloads/total\'.\nAccessed via package: \'dlsatats\'."
)
This plot looks like this:
I trust that helps?
In RStudio in the bottom right window (window that shows: Files | Plots | Packages etc)
Click on "Packages"
Then Install
In the pop-up window :
Install from: "Repository (CRAN)" then Packages: "ROCR" then tick INSTALL DEPE.. then click INSTALL
I'm using R version 3.0.2 and have installed the package tm. Previously, I also loaded a package called tm.plugin.tags. To get a measure of whether a text corpus was positive or negative I used the following approach:
library('tm')
library('tm.plugin.tags')
pos <- tm_tag_score(TermDocumentMatrix(corpus, control = list(removePunctuation = TRUE)), tm_get_tags("Positiv"))
tm.plugin.tags seems to be no longer available for R. This was based on the following classification system http://www.wjh.harvard.edu/~inquirer/homecat.htm and I'm wondering if there is any other package or approach that I can use to achieve a similar result.
I have emailed the package maintainer of tm so I will post an update here once/if I receive a response.
You can install tm.plugin.tags using the following command
install.packages("tm.plugin.tags", repos = "http://datacube.wu.ac.at", type = "source")
This installs without any problem
Thanks
Cheers
I have the scatterplot3d package installed in R. When I load it with library(scatterplot3d) or require(scatterplot3d) I am able to create a 3d scatter plot. However, when I try to use the points3d function I get the following error:
Error: could not find function "points3d"
I tried reinstalling the package to no avail (both inside R and as a tarball using R CMD INSTALL in the command line). I am running Xubuntu 12.10 kernel 3.8.7-030807-generic and R version 2.15.3 (2013-03-01).
Entering locate points3d in the command line gave me no results.
I also tried the par.mar default settings command as explained in the manual.
scatterplot3d does an interesting object-oriented twist on the usual R practice. The object returned from the function call includes the points3d function as built-in part of the object but it is not in the Global environment. It is intended that you add to the existing plot-object using that "attached" function that is not a free-living organism but rather a domesticated animal that only exists in the object corral, so you would use this as your syntax:
object$point3d(x,y,z)
I do "feel your pain" but can show you how to overcome the frustration, since I created a working example yesterday: Using scatterplot3d to plot a sphere
You need to intall the package plot3D in the usual way via
install.packages("plot3D")
Then you just need to import, generate the dataset and use the function points3D()
library(plot3D)
x = rnorm(100)
y = rnorm(100)
z = x + y + rnorm(100,0,1)
points3D(x, y, z, col = rainbow(1000))
This is the plot generated by the code above
I was running the xyplot of presidential elections in the pscl package and got the error
data(presidentialElections)
library(lattice)
xyplot(demVote ~ year | state,
panel=panel.lines,
ylab="Democratic Vote for President (percent)",
xlab="Year",
data=presidentialElections,
scales=list(y=list(cex=.6),x=list(cex=.35)),
strip=strip.custom(par.strip.text=list(cex=.6)))
Error:
Error in recordGraphics(drawGrob(x), list(x = x), getNamespace("grid")) :
invalid graphics state
I am a new user to R and would appreciate if anyone can help me to fix the error.
Try dev.off() and then re-run the same code.
I personally use tinn r to program in R and find it very useful, you can close/open R easily and still send command lines in. (you can even DL different versions of R to load for different packages)