What is an easy way to find out what class each column is in a data frame?
The second method to find and remove duplicated columns in R is by using the duplicated() function and the t() function. This method is similar to the previous method. However, instead of creating a list, it transposes the data frame before applying the duplicated() function.
To determine the class of any R object's “internal” type, use the class() function. If the object does not have a class attribute, it has an implicit class, prominently “matrix“, “array“, “function” or “numeric,” or the result of typeof(x). The class() function is robust.
The best way to replicate columns in R is by using the CBIND() function and the REP() function. First, you use the REP() function to select a column and create one or more copies. Then, you use the CBIND() function to merge the original dataset and the replicated columns into a single data frame.
One option is to use lapply
and class
. For example:
> foo <- data.frame(c("a", "b"), c(1, 2)) > names(foo) <- c("SomeFactor", "SomeNumeric") > lapply(foo, class) $SomeFactor [1] "factor" $SomeNumeric [1] "numeric"
Another option is str
:
> str(foo) 'data.frame': 2 obs. of 2 variables: $ SomeFactor : Factor w/ 2 levels "a","b": 1 2 $ SomeNumeric: num 1 2
You can simple make use of lapply
or sapply
builtin functions.
lapply
will return you a list
-
lapply(dataframe,class)
while sapply
will take the best possible return type ex. Vector etc -
sapply(dataframe,class)
Both the commands will return you all the column names with their respective class.
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