# To refer to column names that are stored as strings, use the `. # Whereas this keeps rows with `mass` greater than the gender # average: starwars %>% group_by(gender) %>% filter(mass > mean(mass, na.rm = TRUE )) Functions for manipulating data The text below was exerpted from the R CRAN dpylr vignettes. Why do I like it so much It has a user-friendly syntax, is easy to work with, and it plays very nicely with the other dplyr functions. Note that when a condition evaluates to NA the row will be dropped, unlike base subsetting with. To be retained, the row must produce a value of TRUE for all conditions. But the dplyr filter function is by far my favorite, and it’s the method I use the vast majority of the time. The filter () function is used to subset a data frame, retaining all rows that satisfy your conditions. # The following filters rows where `mass` is greater than the # global average: starwars %>% filter(mass > mean(mass, na.rm = TRUE )) As is often the case in programming, there are many ways to filter in R. # The filtering operation may yield different results on grouped # tibbles because the expressions are computed within groups. The filter () function is used to subset a data frame, retaining all rows that satisfy your conditions. Users can use all types of data, such as univariate, multivariate, or categorical, to create data. ggplot creates complex and intricate plots using the principles listed in the grammar of graphics. # When multiple expressions are used, they are combined using & filter(starwars, hair_color = "none", eye_color = "black" ) It is based on Leland Wilkinson’s Grammar of Graphics. What I would like to do is to link the menu options to the facets. # Filtering by multiple criteria within a single logical expression filter(starwars, hair_color = "none" & eye_color = "black" )įilter(starwars, hair_color = "none" | eye_color = "black" ) Filtering my plot according to user selection (Shiny) 2-drop down menu for 5 coral types. # Filtering by one criterion filter(starwars, species = "Human" )
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