# Import nlmixr2 output into xpose object Convert 'nlmixr2' model output into an 'xpose' database. ```r xpose_data_nlmixr2( obj = NULL, pred = NULL, wres = NULL, gg_theme = theme_readable(), xp_theme = theme_xp_default(), quiet, skip = NULL, ... ) xpose_data_nlmixr( obj = NULL, pred = NULL, wres = NULL, gg_theme = theme_readable(), xp_theme = theme_xp_default(), quiet, skip = NULL, ... ) ``` ## Arguments - `obj`: nlmixr2 fit object to be evaluated. - `pred`: Name of the population prediction variable to use for plotting. If unspecified, it will choose either "NPDE", "CWRES", and "RES" (in that order) if the column exists in the data. - `wres`: Name of the weighted residual variable to use for plotting. If unspecified, it will choose either "NPDE", "CWRES", and "RES" (in that order) if the column exists in the data. - `gg_theme`: A ggplot2 theme object. - `xp_theme`: An xpose theme or vector of modifications to the xpose theme (eg. `c(point_color = 'red', line_linetype = 'dashed')`). - `quiet`: Logical, if `FALSE` messages are printed to the console. - `skip`: Character vector be used to skip the import/generation of: 'data', 'files', 'summary' or any combination of the three. - `...`: Additional arguments to be passed to the `read_delim` functions. ## Returns An `xpose_data` object suitable for use in 'xpose'. ## Examples ```r ## Not run: library(nlmixr2) one.cmt <- function() { ini({ ## You may label each parameter with a comment tka <- 0.45 # Ka tcl <- log(c(0, 2.7, 100)) # Log Cl ## This works with interactive models ## You may also label the preceding line with label("label text") tv <- 3.45; label("log V") ## the label("Label name") works with all models eta.ka ~ 0.6 eta.cl ~ 0.3 eta.v ~ 0.1 add.sd <- 0.7 }) model({ ka <- exp(tka + eta.ka) cl <- exp(tcl + eta.cl) v <- exp(tv + eta.v) linCmt() ~ add(add.sd) }) } theo_sd_fit <- nlmixr2(one.cmt, theo_sd, "focei", control=foceiControl(print=0)) xpdb <- xpose_data_nlmixr2(obj = theo_sd_fit) ## End(Not run) ```

xpose_data_nlmixr2 function