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I just want to understand if there is a difference between names and colnames when working with data.frame. Both seems to behave the same way. Can I subsitute one by the other?
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colnames() function in R Language is used to set the names to columns of a matrix. Syntax: colnames(x) <- value.
The rownames() and colnames() functions in R are used to obtain or set the names of the row and column of a matrix-like object, respectively.
Method 1: using colnames() method colnames() method in R is used to rename and replace the column names of the data frame in R. The columns of the data frame can be renamed by specifying the new column names as a vector. The new name replaces the corresponding old name of the column in the data frame.
To access a specific column in a dataframe by name, you use the $ operator in the form df$name where df is the name of the dataframe, and name is the name of the column you are interested in. This operation will then return the column you want as a vector.
Are they the same for data.frames? YES
Are they the same in general? Not quite--the big difference is that colnames also works for matrices, whereas names does not (just dataframes).
In addition, you can use names to set/get the names of vectors (and, for obvious reasons, you can't do this with colnames--the result is NULL for getting and an error for setting).
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