Open ecking opened 4 years ago
Note that dplyr functions have a syntax that is distinct from core R functions. They all have the form:
some_data_verb( df.name, arguments )
Since dplyr identifies the data frame you are working with up front, you can now call the variable names directly and do not have to use the $ operator.
count() works like the table() function in core R.
table( dat$var1, dat$var2 ) # core R
count( dat, var1, var2 ) # dplyr
One main difference is that table() returns a table object. The dplyr functions always return data frames that can then be further manipulated. For example:
count( dat, var1, var2 ) %>% arrange( - n ) # sort largest to smallest
Hello, I'm stuck on number 4s count function.
4) What is the most common type of accident (Collisionmanner) that occurs on Mondays? Use dplyr’s count() function.
I see this in help: count(x, ..., wt = NULL, sort = FALSE, name = "n", .drop = group_by_drop_default(x))
But I have no idea where to begin here. :(
Do I do something like
count(dat$Collesionmanner).....