My data looks like this
PDB.ID Chain.ID Space.Group     Uniprot.Recommended.Name
101M        A         P 6   Myoglobin
102L        A    P 32 2 1   Endolysin
102M        A         P 6   Myoglobin
103L        A    P 32 2 1   Endolysin
103M        A         P 6   Myoglobin
104L        A       H 3 2   Endolysin
After reading the data and loading the required package
df <- read.delim("~/Downloads/dummy2.tsv")
library(dplyr)
I can count the number of entries for a specific variable with code like this
df %>% count(Uniprot.Recommended.Name)
Or alternatively
df %>% +
group_by(Uniprot.Recommended.Name) %>% +
  summarise( +
    count = n() +
) 
I get two columns, a count for every case of Uniprot.Recommended.Name
My question: Is it possible to get a table with two counts. Counting the number of entries for every Space.Group per Uniprot.Recommended.Name.
Expected table should be like something like this
Myoglobin    P 6         123
Myoglobin    P 32 2 1    124
Endolysin    P 32 2 1    125
Endolysin    H 3 2       126
Thanks
