Table Function In R Include Na
The table function is a very basic but essential function to master while performing interactive data analyses.
Table function in r include na. Only effective for categorical variables. For example if you look at the help for the lm command you can see that na action is one of the listed arguments. If there are na s table function will ignore them. Na is shown as the last factor level in the table.
This does not do what i want although i can see how it does what it is documented to do. To include na as a category in counts include the table option exclude null if the variable is a vector. A function used to perform the large sample approximation based. So that the proportion of the two way frequency table is calculated frequency table with with proportion using table function in r table1 as table.
If true na is handled as a regular factor level rather than missing. By default it will use the na action specified in the r options. If the variable is a factor you have to create a new factor using newfactor factor oldfactor exclude null. Proportion of the frequency table is created using prop table function.
It simply creates tabular results of categorical variables. Which says there are 3 cars which has carb 1 and gear 3 and so on. Fortunately the r programming language provides us with a function that helps us to deal with such missing data. For more details about dplyr tally see the next chapter how to tally.
R is na function example remove replace count if else is not na well i guess it goes without saying that na values decrease the quality of our data. However when combined with the powers of logical expressions in r you can gain even more insights into your data including identifying potential problems. In some r functions one of the arguments the user can provide is the na action. If true as in the default and there are more than two groups groupwise comparisons are performed.
In the following article i m going to explain what the function does and how the function can be. Table is passed as an argument to the prop table function. If we want to include na s in the table we can use dplyr tally plus tidyr spread.