I am trying to understand the way group_by function works in dplyr. I am using the airquality data set, that comes with the datasets package link.
I understand that is if I do the following, it should arrange the records in increasing order of Temp variable
airquality_max1 <- airquality %>% arrange(Temp)
I see that is the case in airquality_max1. I now want to arrange the records by increasing order of Temp but grouped by Month. So the end result should first have all the records for Month == 5 in increasing order of Temp. Then it should have all records of Month == 6 in increasing order of Temp and so on, so I use the following command
airquality_max2 <- airquality %>% group_by(Month) %>% arrange(Temp)
However, what I find is that the results are still in increasing order of Temp only, not grouped by Month, i.e., airquality_max1 and airquality_max2 are equal.
I am not sure why the grouping by Month does not happen before the arrange function. Can anyone help me understand what I am doing wrong here?
More than the problem of trying to sort the data frame by columns, I am trying to understand the behavior of group_by as I am trying to use this to explain the application of group_by to someone.
 
    