11# this test file tests basic dplyr verbs and expressions within
2+ penguinsDf <- dplyr :: tibble(
3+ bill_length_mm = c(39.1 ,39.5 ,40.3 ,NA ,36.7 ,39.3 ,38.9 ,39.2 ,34.1 ,42 ,37.8 ,37.8 ,41.1 ,38.6 ,34.6 ,36.6 ,38.7 ,42.5 ,34.4 ,46 ,37.8 ,37.7 ,35.9 ,38.2 ,38.8 ,35.3 ,
4+ 40.6 ,40.5 ,37.9 ,40.5 ,39.5 ,37.2 ,39.5 ,40.9 ,36.4 ,39.2 ,38.8 ,42.2 ,37.6 ,39.8 ,36.5 ,40.8 ,36 ,44.1 ,37 ,39.6 ,41.1 ,37.5 ,36 ,42.3 ,39.6 ,40.1 ,
5+ 35 ,42 ,34.5 ,41.4 ,39 ,40.6 ,36.5 ,37.6 ,35.7 ,41.3 ,37.6 ,41.1 ,36.4 ,41.6 ,35.5 ,41.1 ,35.9 ,41.8 ,33.5 ,39.7 ,39.6 ,45.8 ,35.5 ,42.8 ,40.9 ,37.2 ,
6+ 36.2 ,42.1 ,34.6 ,42.9 ,36.7 ,35.1 ,37.3 ,41.3 ,36.3 ,36.9 ,38.3 ,38.9 ,35.7 ,41.1 ,34 ,39.6 ,36.2 ,40.8 ,38.1 ,40.3 ,33.1 ,43.2 ),
7+ bill_depth_mm = c(18.7 ,17.4 ,18 ,NA ,19.3 ,20.6 ,17.8 ,19.6 ,18.1 ,20.2 ,17.1 ,17.3 ,17.6 ,21.2 ,21.1 ,17.8 ,19 ,20.7 ,18.4 ,21.5 ,18.3 ,18.7 ,19.2 ,18.1 ,17.2 ,18.9 ,
8+ 18.6 ,17.9 ,18.6 ,18.9 ,16.7 ,18.1 ,17.8 ,18.9 ,17 ,21.1 ,20 ,18.5 ,19.3 ,19.1 ,18 ,18.4 ,18.5 ,19.7 ,16.9 ,18.8 ,19 ,18.9 ,17.9 ,21.2 ,17.7 ,18.9 ,17.9 ,
9+ 19.5 ,18.1 ,18.6 ,17.5 ,18.8 ,16.6 ,19.1 ,16.9 ,21.1 ,17 ,18.2 ,17.1 ,18 ,16.2 ,19.1 ,16.6 ,19.4 ,19 ,18.4 ,17.2 ,18.9 ,17.5 ,18.5 ,16.8 ,19.4 ,16.1 ,
10+ 19.1 ,17.2 ,17.6 ,18.8 ,19.4 ,17.8 ,20.3 ,19.5 ,18.6 ,19.2 ,18.8 ,18 ,18.1 ,17.1 ,18.1 ,17.3 ,18.9 ,18.6 ,18.5 ,16.1 ,18.5 ),
11+ flipper_length_mm = c(181 ,186 ,195 ,NA ,193 ,190 ,181 ,195 ,193 ,190 ,186 ,180 ,182 ,191 ,198 ,185 ,195 ,197 ,184 ,194 ,174 ,180 ,189 ,185 ,180 ,187 ,183 ,187 ,172 ,180 ,178 ,
12+ 178 ,188 ,184 ,195 ,196 ,190 ,180 ,181 ,184 ,182 ,195 ,186 ,196 ,185 ,190 ,182 ,179 ,190 ,191 ,186 ,188 ,190 ,200 ,187 ,191 ,186 ,193 ,181 ,194 ,185 ,195 ,
13+ 185 ,192 ,184 ,192 ,195 ,188 ,190 ,198 ,190 ,190 ,196 ,197 ,190 ,195 ,191 ,184 ,187 ,195 ,189 ,196 ,187 ,193 ,191 ,194 ,190 ,189 ,189 ,190 ,202 ,205 ,185 ,
14+ 186 ,187 ,208 ,190 ,196 ,178 ,192 ),
15+ body_mass_g = c(3750 ,3800 ,3250 ,NA ,3450 ,3650 ,3625 ,4675 ,3475 ,4250 ,3300 ,3700 ,3200 ,3800 ,4400 ,3700 ,3450 ,4500 ,3325 ,4200 ,3400 ,3600 ,3800 ,3950 ,3800 ,3800 ,
16+ 3550 ,3200 ,3150 ,3950 ,3250 ,3900 ,3300 ,3900 ,3325 ,4150 ,3950 ,3550 ,3300 ,4650 ,3150 ,3900 ,3100 ,4400 ,3000 ,4600 ,3425 ,2975 ,3450 ,4150 ,3500 ,4300 ,
17+ 3450 ,4050 ,2900 ,3700 ,3550 ,3800 ,2850 ,3750 ,3150 ,4400 ,3600 ,4050 ,2850 ,3950 ,3350 ,4100 ,3050 ,4450 ,3600 ,3900 ,3550 ,4150 ,3700 ,4250 ,3700 ,3900 ,
18+ 3550 ,4000 ,3200 ,4700 ,3800 ,4200 ,3350 ,3550 ,3800 ,3500 ,3950 ,3600 ,3550 ,4300 ,3400 ,4450 ,3300 ,4300 ,3700 ,4350 ,2900 ,4100 ),
19+ year = c(rep(2007 ,50 ), rep(2008 ,50 )),
20+ species = factor (rep(" Adelie" , 100 )),
21+ island = factor (c(rep(" Torgersen" ,20 ), rep(" Biscoe" ,10 ), rep(" Dream" ,20 ), rep(" Biscoe" ,20 ), rep(" Torgersen" ,20 ), rep(" Dream" ,10 ))),
22+ sex = factor (c(" male" ," female" ," female" ,NA ," female" ," male" ," female" ," male" ,NA ,NA ,NA ,NA ," female" ," male" ," male" ," female" ," female" ," male" ,
23+ " female" ," male" ," female" ," male" ," female" ," male" ," male" ," female" ," male" ," female" ," female" ," male" ," female" ," male" ," female" ,
24+ " male" ," female" ," male" ," male" ," female" ," female" ," male" ," female" ," male" ," female" ," male" ," female" ," male" ," male" ,NA ," female" ,
25+ " male" ," female" ," male" ," female" ," male" ," female" ," male" ," female" ," male" ," female" ," male" ," female" ," male" ," female" ," male" ,
26+ " female" ," male" ," female" ," male" ," female" ," male" ," female" ," male" ," female" ," male" ," female" ," male" ," female" ," male" ," female" ,
27+ " male" ," female" ," male" ," female" ," male" ," male" ," female" ," male" ," female" ," female" ," male" ," female" ," male" ," female" ," male" ,
28+ " female" ," male" ," female" ," male" ," female" , " male" ))
29+ )
30+
231
332test_dplyr <- function (con , cdm_schema , write_schema ) {
433
@@ -7,7 +36,6 @@ test_dplyr <- function(con, cdm_schema, write_schema) {
736 writeSchema = write_schema
837 )
938 penguinsTbl <- omopgenerics :: uniqueTableName(prefix = " penguins_" )
10- penguinsDf <- palmerpenguins :: penguins
1139 penguinsDf <- penguinsDf %> %
1240 dplyr :: mutate_if(is.factor , as.character ) | >
1341 dplyr :: mutate(row_id = dplyr :: row_number())
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