could not find function "PCA"

[jdment]

Hello!

Brand new user to R. I do not have any coding experience. Did a walkthrough install of R in class and worked fine.

In class, 2 days ago, this ran fine:
Sensory_Reps.pca = PCA(Sensory_Reps [,-c(1)], scale.unit=FALSE, ncp=5, graph=TRUE)

I imported a data set (Beer_Data , it showed up with 1599 obs. of 11 variables) and ran:
Beer_Data.pca = PCA(Beer_Data , scale.unit=FALSE, npc=5, graph=TRUE)

Trying to run either now gets a message like:
Error in PCA(Sensory_Reps[, -c(1)], scale.unit = FALSE, ncp = 5, graph = TRUE) :
could not find function "PCA"

Appreciate the help
JDM

[xvalda]

Hi @jdment ,

The PCA() function is part of the FactoMineR package.

So you need to load the package:

library(FactoMineR)

If you see this message:

Error in library(FactoMineR) : there is no package called ‘FactoMineR’

... then it means that the package is not installed on your machine and to install it just do this and wait that it's installed:

install.packages("FactoMineR")

Then load the package again: library(FactoMineR) and the PCA() function will be available.

[jdment]

Thanks! got it installed and it ran. Now getting an error: unused argument (npc = 5)

When I take that out of the command line, I do get a graph but the dimension 1 is 99.99% and Dim 2 is 0.0057%. The graph is basically a horizontal line. Is there a code I can insert to expand the graph on the y axis?

[HanOostdijk]

If you get an error like unused argument check that you made no typing error.
Instead of npc = 5 try ncp = 5.

[jdment]

Thanks for your reply- unfortunately, no joy. I only get a straight line of data. It doesn't matter if I use npc or ncp.

[xvalda]

Well, it's a different question from the initial one. I would rather recommend you take a look at a few resources first:

• course videos form the creators of the package: FactoMineR: MOOC
• short tutorials (you can google to find more): FactoMineR and factoextra : Principal Component Analysis Visualization - R software and data mining - Easy Guides - Wiki - STHDA

You can also us data sets that come with the FactoMineR package, here's how you can find the list.

data(package = "FactoMineR")

If you need help with your specific case, I would recommend you post a new question with the data and code that you're using, here's how:

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.…

Good luck with the topic.

[jdment]

Great- thanks! I'll review the tutorials.