I downloaded a new version of R Studio (2023.03.0) yesterday and am now running into an error. Previous to my download, I did not get an error, however now whenever I try to call a column (using a $) from a large dataframe, I get the following error:
Error in order(typeScores, scores) : argument lengths differ
In addition: Warning message:
In completions$type == .rs.acCompletionTypes$DATAFRAME & !completions$context %in% :
longer object length is not a multiple of shorter object length
The following code (constructed for the post here Error in autocomplete for large dataframes · Issue #13018 · rstudio/rstudio · GitHub by someone else who faced the same error) duplicates the issue:
library(dplyr)
generate_dataframe <- function(n_rows, n_columns) {
set.seed(42) # Setting the seed for reproducibility
random_column_generator <- function(n_rows) {
col_type <- sample(c("character", "numeric", "boolean", "factor"), 1)
if (col_type == "character") {
return(sample(c(LETTERS, NA), n_rows, replace = TRUE))
} else if (col_type == "numeric") {
return(sample(c(rnorm(n_rows, mean = 0, sd = 1), NA), n_rows, replace = TRUE))
} else if (col_type == "boolean") {
return(sample(c(TRUE, FALSE, NA), n_rows, replace = TRUE))
} else if (col_type == "factor") {
values <- sample(c(-1:1, NA), n_rows, replace = TRUE)
labels <- c("Negative", "Neutral", "Positive")
return(factor(values, levels = c(-1, 0, 1), labels = labels, exclude = NULL))
}
}
random_string <- function(length) {
return(paste(sample(c(LETTERS, letters), length, replace = TRUE), collapse = ""))
}
df <- data.frame(matrix(ncol = n_columns, nrow = n_rows))
for (i in 1:n_columns) {
df[[i]] <- random_column_generator(n_rows)
}
colnames(df) <- replicate(n_columns, random_string(sample(1:8, 1)))
return(df)
}
# Generate random large dataframe
generated.df <- generate_dataframe(n_rows = 5e4, n_columns = 4e3)
If you type "generated.df$" the error will appear. My question is, why is this error occurring? It doesn't seem to be changing how my code is running--what does it mean? And lastly, is this a bug in the newest R studio?
Thanks!