@@ -122,8 +122,7 @@ bind_log_odds <- function(tbl, set, feature, n, uninformative = FALSE,
122122
123123 # `.n` is the *actual count* of each word w across
124124 # all groups
125- feat_counts <- count(pseudo , !! feature , wt = !! n_col )
126- feat_counts <- rename(feat_counts , .n = n )
125+ feat_counts <- count(pseudo , !! feature , wt = !! n_col , name = " .n" )
127126 feat_counts <- left_join(tbl , feat_counts , by = as_name(feature ))
128127
129128 pseudo $ alpha <- feat_counts $ .n
@@ -142,12 +141,10 @@ bind_log_odds <- function(tbl, set, feature, n, uninformative = FALSE,
142141 pseudo <- mutate(pseudo , y_wi = !! n_col + alpha )
143142
144143 # y_w is the total count of word w
145- feat_counts <- count(pseudo , !! feature , wt = y_wi )
146- feat_counts <- rename(feat_counts , y_w = n )
144+ feat_counts <- count(pseudo , !! feature , wt = y_wi , name = " y_w" )
147145
148146 # n_i is the count of all words in group i
149- set_counts <- count(pseudo , !! set , wt = y_wi )
150- set_counts <- rename(set_counts , n_i = n )
147+ set_counts <- count(pseudo , !! set , wt = y_wi , name = " n_i" )
151148
152149 # merge the various counts together so we can
153150 # do vectorized operations in a data frame
0 commit comments