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Bundled with surtvep · exported, loads via data()

Class
data.frame
Dimensions
9,104 × 34
Missing
0
Format
rda
Fingerprint
0fdbc62e
Columns
ColumnTypeDistinctMissingRange or levels
agenumeric7,323018.042 – 101.848
deathinteger200 – 1
sexfactor202 levels
slosinteger16703 – 343
d.timeinteger1,72403 – 2029
dzgroupfactor808 levels
dzclassfactor404 levels
num.cointeger1000 – 9
eduinteger3100 – 31
scomainteger1100 – 100
avtisstnumeric35201 – 83
racefactor606 levels
hdayinteger8501 – 148
diabetesinteger200 – 1
dementiainteger200 – 1
cafactor303 levels
meanbpnumeric16400 – 195
wblcnumeric50000 – 200
hrtnumeric18600 – 300
respinteger6600 – 90
tempnumeric98031.6992 – 41.6953
pafinumeric1,458012 – 890.375
albnumeric6100.4 – 29
bilinumeric29600.1 – 63
creanumeric13100.1 – 21.5
sodinteger600110 – 181
phnumeric7706.8291 – 7.7695
glucosenumeric43900 – 1092
bunnumeric16001 – 300
urinenumeric1,49500 – 9000
adlpinteger800 – 7
adlscnumeric1,73500 – 7.0732
spsnumeric60400.2 – 99.1875
apsinteger12500 – 143
Ships identically in 2 other packages

The stored data is identical, so this is very likely one shared fixture.

Same structure in 2 other datasets

These datasets share the same columns and types but hold different data.