Error in installing ggplot2 package, using with Library (Caret)

[niteshrs73]

I tried several ways to upload all relevant packages but still facing the issue with ggplot2. Tried everything, installed all packages...using R Studio 1.1.4 version

library(caret)
Error: package ‘ggplot2’ required by ‘caret’ could not be found

Is upgrade of R Studio the only way out finally? Please advise way forward.

[mara]

Have you installed ggplot2 by running install.packages("ggplot2")?

You might also just reinstall caret using:

install.packages("caret", dependencies = TRUE)

[niteshrs73]

Yes, I tried both. Still the below functions are not working
Error in createDataPartition(cars$Transport, p = 0.7, list = FALSE) :
could not find function "createDataPartition"

[mara]

@niteshrs73

Still the below functions are not working
Error in createDataPartition(cars$Transport, p = 0.7, list = FALSE) :
could not find function "createDataPartition"

This is a different problem than the one in your original post, and it's not one I'm able to reproduce:

library(caret)
#> Loading required package: lattice
#> Loading required package: ggplot2
set.seed(3456)
trainIndex <- createDataPartition(iris$Species, p = .8, 
                                  list = FALSE, 
                                  times = 1)
head(trainIndex)
#>      Resample1
#> [1,]         1
#> [2,]         2
#> [3,]         3
#> [4,]         5
#> [5,]         6
#> [6,]         7

^{Created on 2019-08-28 by the reprex package (v0.3.0)}

Could you please turn this into a self-contained reprex (short for reproducible example)? It will help us help you if we can be sure we're all working with/looking at the same stuff.

install.packages("reprex")

If you've never heard of a reprex before, you might want to start by reading the tidyverse.org help page. The reprex dos and don'ts are also useful.

There's also a nice FAQ on how to do a minimal reprex for beginners, below:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

What to do if you run into clipboard problems

If you run into problems with access to your clipboard, you can specify an outfile for the reprex, and then copy and paste the contents into the forum.

reprex::reprex(input = "fruits_stringdist.R", outfile = "fruits_stringdist.md")

For pointers specific to the community site, check out the reprex FAQ.

[niteshrs73]

Facing the same issue after installing reprex also

library(caret)
Error: package ‘ggplot2’ required by ‘caret’ could not be found

Within caret, using the below function for knn model

random <- createDataPartition(cars$Transport, p=0.70, list=FALSE)

[mara]

Have you manually installed ggplot2?

install.packages("ggplot2")