What does subsetting mean in R?

What does subsetting mean in R?

Subsetting in R is a useful indexing feature for accessing object elements. It can be used to select and filter variables and observations. You can use brackets to select rows and columns from your dataframe.

How do I exclude data in R?

To exclude variables from dataset, use same function but with the sign – before the colon number like dt[,c(-x,-y)] . Sometimes you need to exclude observation based on certain condition. For this task the function subset() is used.

Can you edit a dataset in R?

Entering and editing data by hand In the R Commander, you can click the Data set button to select a data set, and then click the Edit data set button. For more advanced data manipulation in R Commander, explore the Data menu, particularly the Data / Active data set and Data / Manage variables in active data set menus.

How do I extract a value from a Dataframe in R?

Extract data frame cell value

1. Extract value of a single cell: df_name[x, y] , where x is the row number and y is the column number of a data frame called df_name .
2. Extract the entire row: df_name[x, ] , where x is the row number.
3. Extract the entire column: df_name[, y] where y is the column number.

What does data frame do in R?

The function data. frame() creates data frames, tightly coupled collections of variables which share many of the properties of matrices and of lists, used as the fundamental data structure by most of R’s modeling software.

How do I exclude a column in R?

The most easiest way to drop columns is by using subset() function. In the code below, we are telling R to drop variables x and z. The ‘-‘ sign indicates dropping variables. Make sure the variable names would NOT be specified in quotes when using subset() function.

How do I exclude a column from a Dataframe in R?

Starts here4:01How To… Exclude Columns from a Dataframe in R #63 – YouTubeYouTube

How do I edit a Dataframe in R?

Modify values of a Data Frame in R Language – transform() Function

1. transform() function in R Language is used to modify data. It converts the first argument to the data frame.
2. Example 1: Use transform() on variables.
3. Output:
4. Example 2: Add new variables to data.
5. Output:

How do you modify a variable in R?

The mutate() function is used to modify a variable or recreate a new variable. Variable are changed by using the name of variable as a parameter and the parameter value is set to the new variable. The data frame is typically piped in and the data frame name is not needed when referencing the variable names.

How do I convert data to values in R?

convert() function in R Language is used to compute the data type of a particular data object. It can convert data object to logical, integer, numeric, or factor. Here in the above code, we can see that before type.

What does pull () do in R?

The function pull selects a column in a data frame and transforms it into a vector. This is useful to use it in combination with magrittr’s pipe operator and dplyr’s verbs.