summarize_map: Diagnostics for messy joins
In momeara/data_repo: Load bioinformatics datasets into a local database

given a data frame with two ways to group rows, summarize and give examples of situations where the mapping is not 1-1

1	summarize_map(data, x_cols, y_cols, n_examples = 4, verbose = FALSE)

x_cols

tidyselect specification of a set of columns defining objects

y_cols

tidyselect specification of a set of columns defining objects

data <- data.frame( x=c(1,2,NA,3,4,5,6,6,6,7,7), y=c("a",NA,"c","d","d","d","e","f","g","h","h"))

data x_cols = x), y_cols = y)) X<-[x]: |X|: 7 # number of groups |is.na.X|: 1 # number of groups with NA in atleaset 1 col range(|x|:X): 1, 3 # size range of groups Y<-[y]: |Y|: 7 |is.na.Y|: 1 range(|y|:Y): 1, 3 [X U Y]: # grouping by the union of xcols and ycols |X U Y|: 8 |is.na.XUY|: 2 range(|z|:X U Y): 1, 2 [X @ Y]: |X ~ Y|: 5 |X:X < Y|, |Y:Y < X|: 1, 1 |X:X > Y|, |Y:Y < X|: 3, 3 $is.na.X x y 1 NA c

$is.na.Y x y 1 2 <NA>

$dup.XUY x y 1 7 h 2 7 h

$dup.X x y 1 6 e 2 6 f 3 6 g

$dup.Y y x 1 d 3 2 d 4 3 d 5

momeara/data_repo documentation built on Aug. 13, 2021, 9:46 p.m.