enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. filter function - RDocumentation

   www.rdocumentation.org/packages/dplyr/versions/1.0.10/topics/filter

   The filter() function is used to subset the rows of .data, applying the expressions in ... to the column values to determine which rows should be retained. It can be applied to both grouped and ungrouped data (see group_by() and ungroup()).

3. Keep rows that match a condition — filter • dplyr - tidyverse

   dplyr.tidyverse.org/reference/filter.html

   The filter() function is used to subset a data frame, retaining all rows that satisfy your conditions. To be retained, the row must produce a value of TRUE for all conditions.

4. How to Filter in R: A Detailed Introduction to the dplyr Filter ...

   www.r-bloggers.com/2019/04/how-to-filter-in-r-a-detailed-introduction-to-the-

   filter () selects rows based on their values. mutate () creates new variables. select () picks columns by name. summarise () calculates summary statistics. arrange () sorts the rows. The beauty of dplyr is that the syntax of all of these functions is very similar, and they all work together nicely.

5. r - Filter by multiple conditions - Stack Overflow

   stackoverflow.com/questions/51041946

   You could use the built-in subset() function. It works like the dplyr's filter function mentioned in the other answers. You can join the two conditions "smaller than 10" OR "larger than 80" with the logical operator | (OR).

6. How to Filter Rows in R - Statology

   www.statology.org/filter-rows-r

   A simple explanation of how to filter data in R using the filter() function from the dplyr package.

7. filter() and slice() functions in R from dplyr ️ [Select Rows]

   r-coder.com/filter-dplyr-r

   The filter function from dplyr subsets rows of a data frame based on a single or multiple conditions. In this tutorial you will learn how to select rows using comparison and logical operators and how to filter by row number with slice.

8. filter : Keep rows that match a condition - R Package...

   rdrr.io/cran/dplyr/man/filter.html

   The filter () function is used to subset the rows of .data, applying the expressions in ... to the column values to determine which rows should be retained. It can be applied to both grouped and ungrouped data (see group_by () and ungroup ()).

9. Subsetting and Filtering a Data Frame in R (base R)

   mitchcraver.com/2021/06/15/subsetting-and-filtering-a-data-frame-in-r

   To filter a data frame based on a column, you’ll use the following format: dataframe[ dataframe$column >= 21, column ]. The >= 21 part is where you’ll add your conditional logic for the filter. Additional logic can be used by adding the and operator (&) or the or operator (|).

10. The “filter” Function in R - Stats with R

    www.statswithr.com/r-functions/the-filter-function-in-r

    Purpose: Filters rows of data frames based on specified conditions. .data: A data frame or tibble. ...: Conditions specifying the rows to keep. In this example, the filter function from the dplyr package is used to extract a subset of a data frame (df) where the condition is that the “Age” column is greater than 25.

11. Keep rows that match a condition - search.r-project.org

    search.r-project.org/CRAN/refmans/dplyr/html/filter.html

    The filter () function is used to subset the rows of .data, applying the expressions in ... to the column values to determine which rows should be retained. It can be applied to both grouped and ungrouped data (see group_by () and ungroup ()).