correlation using names within a condition

[lilakoff]

Hi I am new to R and am trying to create 3 correlations:
MarsIB vs. Vocoded performance
MarsIB vs. speech in noise performance
Vocoded performance vs. speech in noise performance

I also don't know if I have the correct packages loaded.
Here is the code showing condition

TaskGroupedSummary <- task_autoscored_full %>%
  dplyr::group_by(Participant, Condition) %>%
  dplyr::summarise(Avg.Intell = mean(Propcorrect)) %>%
  pivot_wider(names_from = Condition, values_from = Avg.Intell)

And here is the Mars Score add in

setwd("/Users/lilyisakoff/Desktop/HonorsData/MaRs-IB_Score/results")
AvgScores <- read.csv("Honors_MaRs-IB_participant_scores.csv")
SpeechTask_MaRs <- left_join(TaskGroupedSummary,AvgScores, by = "Participant")
setwd(output.dir)
write.table(SpeechTask_MaRs, file="SpeechTask_MaRs.csv",append= FALSE, sep = ",", row.names = FALSE, col.names = TRUE)
DT:: datatable(SpeechTask_MaRs)

Thanks!

[williaml]

Hi, can you provide a reproducible example of your datasets? We don't have access to them.

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.…