qq_plot {xpose} | R Documentation |
QQ plots of ETA and residuals
Description
QQ plots of the ETA and model residuals.
Usage
prm_qq(
xpdb,
mapping = NULL,
drop_fixed = TRUE,
type = "p",
title = "QQ plot of parameters | @run",
subtitle = "Based on @nind individuals",
caption = "@dir",
tag = NULL,
log = NULL,
guide = TRUE,
facets,
.problem,
quiet,
...
)
eta_qq(
xpdb,
mapping = NULL,
drop_fixed = TRUE,
type = "p",
title = "QQ plot of etas | @run",
subtitle = "Based on @nind individuals, Eta shrink: @etashk",
caption = "@dir",
tag = NULL,
log = NULL,
guide = TRUE,
facets,
.problem,
quiet,
...
)
res_qq(
xpdb,
mapping = NULL,
res = "CWRES",
type = "p",
title = "QQ plot of @sample | @run",
subtitle = "Based on @nobs observations",
caption = "@dir",
tag = NULL,
log = NULL,
guide = TRUE,
facets,
.problem,
quiet,
...
)
cov_qq(
xpdb,
mapping = NULL,
drop_fixed = TRUE,
type = "p",
title = "QQ plot of continuous covariates | @run",
subtitle = "Based on @nind individuals",
caption = "@dir",
tag = NULL,
log = NULL,
guide = TRUE,
facets,
.problem,
quiet,
...
)
Arguments
xpdb |
An xpose database object. |
mapping |
List of aesthetics mappings to be used for the xpose plot
(e.g. |
drop_fixed |
Should columns that only have a single unique value (i.e. fixed) be dropped. |
type |
String setting the type of plot. Can only be points 'p'. |
title |
Plot title. Use |
subtitle |
Plot subtitle. Use |
caption |
Page caption. Use |
tag |
Plot identification tag. Use |
log |
String assigning logarithmic scale to axes, can be either ”, 'x', y' or 'xy'. |
guide |
Should the guide (e.g. reference line) be displayed. |
facets |
Either a character string to use |
.problem |
The $problem number to be used. By default returns the last estimation problem. |
quiet |
Logical, if |
... |
Any additional aesthetics to be passed on |
res |
Only used for |
Layers mapping
Plots can be customized by mapping arguments to specific layers. The naming convention is layer_option where layer is one of the names defined in the list below and option is any option supported by this layer e.g. point_color = 'blue', etc.
point: options to
geom_point
guide: options to
geom_abline
xscale: options to
scale_x_continuous
orscale_x_log10
yscale: options to
scale_y_continuous
orscale_y_log10
Faceting
Every xpose plot function has built-in faceting functionalities. Faceting arguments
are passed to the functions facet_wrap_paginate
when the facets
argument is a character string (e.g. facets = c('SEX', 'MED1')
) or
facet_grid_paginate
when facets is a formula (e.g. facets = SEX~MED1
).
All xpose plot functions accept all the arguments for the facet_wrap_paginate
and facet_grid_paginate
functions e.g. dv_vs_ipred(xpdb_ex_pk,
facets = SEX~MED1, ncol = 3, nrow = 3, page = 1, margins = TRUE, labeller = 'label_both')
.
Faceting options can either be defined in plot functions (e.g. dv_vs_ipred(xpdb_ex_pk,
facets = 'SEX')
) or assigned globally to an xpdb object via the xp_theme
(e.g. xpdb
<- update_themes(xpdb_ex_pk, xp_theme = list(facets = 'SEX'))
). In the latter example all plots
generate from this xpdb will automatically be stratified by 'SEX'.
By default, some plot functions use a custom stratifying variable named 'variable', e.g.
eta_distrib()
. When using the facets
argument, 'variable' needs to be added manually
e.g. facets = c('SEX', 'variable')
or facets = c('SEX', 'variable')
, but is optional,
when using the facets
argument in xp_theme
variable is automatically added whenever needed.
Template titles
Template titles can be used to create highly informative diagnostics plots.
They can be applied to any plot title, subtitle, caption and tag. Template titles
are defined via a single string containing key variables staring with a '@' (e.g. '@ofv')
which will be replaced by their actual value when rendering the plot.
For example ''@run, @nobs observations in @nind subjects'' would become
''run001, 1022 observations in 74 subjects''. The available key variables
are listed under template_titles
.
See Also
Examples
# QQ plot of parameters
prm_qq(xpdb_ex_pk)
# QQ plot of eta
eta_qq(xpdb_ex_pk)
# QQ plot of residuals
res_qq(xpdb_ex_pk, res = c('IWRES', 'CWRES'))
# QQ plot of continuous covariates
cov_qq(xpdb_ex_pk)