I can provide some guidance on how to address the issue with your R code.

The problem is that you have a large dataset with many variables, and each variable has a unique label. When you use df$variable to access a column in the dataframe, it doesn’t know which one you’re referring to unless you specify the entire name of the column.

To fix this issue, I would recommend using the following code:

# Load necessary libraries
library(dplyr)

# Access specific columns by name
df$entre_1 <- df$ente1
df$entre_2 <- df$ente2
df$entre_3 <- df$ente3

# Use dplyr to filter or manipulate the data
df %>% 
  filter(entre_1 == "your_value") %>% 
  group_by(other_variable) %>% 
  summarise(mean_other_variable = mean(other_variable))

In this code, df$entre_1 will access the column with label ’ente1’, and so on.

If you’re trying to perform a specific operation on multiple columns at once, such as filtering or manipulating data, consider using functions like filter(), group_by(), summarise(), etc. from the dplyr library.

However, without more context about what your code is supposed to do and what errors you’re encountering, it’s difficult for me to provide a definitive solution.

Can you please provide more information or examples of how you’re trying to use these variables in your code?

Last modified on 2023-05-04