set_dv_probs | R Documentation |
For categorical DVs or similar endpoints (such as censoring
flag columns, like BLQ
), this function allows probability
columns to be defined for each level.
set_dv_probs(
xpdb,
.problem = NULL,
...,
.dv_var = NULL,
.handle_missing = c("quiet", "warn", "error")
)
xpdb |
< |
.problem |
< |
... |
Formulas where LHS are levels or pseudo-functions (see Details), and RHS are columns with probabilities of those levels. |
.dv_var |
< |
.handle_missing |
< |
The same probability cannot be assigned to multiple values. Pseudo-functions can be used, or
new columns can be created to overcome this limitation. The available pseudo-functions should
be written like ge(value)
(for >=
), gt(value)
(for >
), etc. These comparison names
are those used in Perl, Fortran and many other languages. The function eq()
should not be used,
but it will be ignored either way; equivalence is implied with the base syntax.
<xp_xtras
> object with updated probabilities
pkpd_m3 %>%
# Not necessary, but correct to set var type before using this
set_var_types(.problem=1, catdv=BLQ, dvprobs=LIKE) %>%
# Set var type. Warnings can be helpful unless an inverse likelihood column is available
set_dv_probs(.problem=1, 1~LIKE, .dv_var = BLQ, .handle_missing = "warn") %>%
list_vars()
# Same as above with demo of inverse column
pkpd_m3 %>%
xpose::mutate(INVLIKE = 1-LIKE) %>%
set_var_types(.problem=1, catdv=BLQ, dvprobs=c(LIKE,INVLIKE)) %>%
# Note no warning
set_dv_probs(.problem=1, 1~LIKE, 0~INVLIKE, .dv_var = BLQ, .handle_missing = "warn")%>%
list_vars()
# With categorical model
vismo_pomod %>%
# Update var types
set_var_types(.problem=1, catdv=DV, dvprobs=matches("^P\\d+$")) %>%
# Warning (as noted), does not recognize 3 is covered implicitly. That's ok!
set_dv_probs(.problem=1, 0~P0,1~P1,ge(2)~P23, .handle_missing = "warn")%>%
list_vars()
# Same as above, but...
vismo_pomod %>%
set_var_types(.problem=1, catdv=DV, dvprobs=matches("^P\\d+$")) %>%
# Default is to not bother users with a warning
set_dv_probs(.problem=1, 0~P0,1~P1,ge(2)~P23)%>%
list_vars()
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