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This error occurs when you try to pass a 1-dimensional vector to the colSums function, which expects a 2-dimensional input. If we want to subset a data frame column, we can use the drop argument to preserve the data frame object. For example, df <- data.frame(x1 =...

This error occurs when you try to subset an object outside its number of dimensions. We can get the number of dimensions of an object using the dim() function. We can then solve the error by ensuring we only subset using the available dimensions. This tutorial will go...

This error occurs when you try to use a list to subset a data frame. You can solve this error by using the c function to subset the data frame based on a vector. For example, df_subset <- df[c("x", "z")] df_subset This tutorial will go through the error in detail...

This error occurs if you try to create a variable with a name beginning with a number. You can solve this error by ensuring the variable starts with a letter or a dot. You can see the documentation for syntactically valid names by typing the following command:...

You can find the column name with the largest value across all rows using the colnames() function together with the apply function. For example, df$largest_col <-colnames(df)[apply(df, 1, which.max)] This tutorial will go through how to perform this task with code...

This error occurs if you try to perform a mathematic operation on a character vector. You can solve this error by converting the characters to numeric values using the as.numeric() function. For example, x <- c("2", "3", "4", "5") x_num <- as.numeric(x)...

This error occurs when you try to fit a regression model and one or more of the predictor variables are either factor or character and have only one unique value. You can solve this error by using the lapply() function to display each of the unique values for each...