How do you subset a data frame?

How do you subset a data frame?

So, to recap, here are 5 ways we can subset a data frame in R:

1. Subset using brackets by extracting the rows and columns we want.
2. Subset using brackets by omitting the rows and columns we don’t want.
3. Subset using brackets in combination with the which() function and the %in% operator.
4. Subset using the subset() function.

How do I select columns in R based on condition?

Select Data Frame Columns in R

1. pull(): Extract column values as a vector.
2. select(): Extract one or multiple columns as a data table.
3. select_if(): Select columns based on a particular condition.
4. Helper functions – starts_with(), ends_with(), contains(), matches(), one_of(): Select columns/variables based on their names.

How do I remove a row based on a condition in R?

Delete or Drop rows in R with conditions

1. drop rows with condition in R using subset function.
2. drop rows with null values or missing values using omit(), complete.cases() in R.
3. drop rows with slice() function in R dplyr package.
4. drop duplicate rows in R using dplyr using unique() and distinct() function.

Is it possible to subset A dataset by rows?

Subsetting Datasets by Rows. It’s also possible to subset your data based on row position. For example, you may want to extract all cases in a dataset beginning at the 5th row, or extract the first 30 cases in a dataset, or extract rows 20 through 30 of a dataset.

How to subset data frame rows by logical condition?

We selected only rows where the group column is equal to “g1”. We did this by specifying data$group == “g1” before a comma within squared parentheses. We can also subset our data the other way around (compared to Example 1).

How are subsets created in a conditional logic statement?

Subsets can be created using either inclusion or exclusion criteria. Inclusion and exclusion criteria are both statements of conditional logic that are based on one or more variables, and one or more values of those variables.

When do you use the subsetting if statement in SAS?

When you create SAS data sets, use the subsetting IF statement when it is easier to specify a condition for including observations. When it is easier to specify a condition for excluding observations, use the DELETE statement. The subsetting IF and the WHERE statements are not equivalent.