All functions

StatSmoothOrdinal

Stat object for producing smooths through ordinal data

StatSummaryBinQuant

Stat ggproto object for binning by quantile for xgx_stat_ci

StatSummaryOrdinal

Stat ggproto object for creating ggplot layers of binned confidence intervals for probabiliities of classes in ordinal data

case1_pkpd

Case 1 PKPD Data Set

edit_rmd_template_str()

Edit a Rmd Template from xgx

get_rmd_name()

Determine the name of a Rmd template

get_rmd_str()

get_rmd_str returns a Rmd template string, based on the desired PKPD parameters

mad

Multiple Ascending Dose Data Set

mad_missing_duplicates

Multiple Ascending Dose Data Set (Duplicates Removed)

mad_nca

Multiple Ascending Dose Noncompartmental Analysis (NCA) dataset

nlmixr_theo_sd

nlmixr Theophylline SD Data Set

predict(<nls>)

predict.nls

predictdf()

Prediction data frame from ggplot2 Get predictions with standard errors into data frame

predictdf(<nls>)

Prediction data frame for nls

predictdf(<polr>)

Prediction data frame for polr

sad

Single Ascending Dose Data Set

theme_xgx()

Calls the standard theme for xGx graphics

xgx_annotate_filenames()

Append filenames to bottom of the plot

xgx_annotate_status()

Create a status (e.g. DRAFT) annotation layer

xgx_annotate_status_png()

Annotate a png file or directory of png files

xgx_auto_explore()

Produce an xgx-styled report the given dataset using xgx R markdown templates, or a user-provided R markdown template. (Note: The R markdown template provided must be formatted in a similar manner to that of the xgx R markdown templates to work.) The working directory will contain a new directory (`xgx_autoexplore_output`) after running this function, which will contain a directory for the dataset, and futher a directory for the type of analysis / R markdown template.

xgx_breaks_log10()

Sets the default breaks for log10

xgx_breaks_time()

Sets the default breaks for a time axis

xgx_check_data()

Check data for various issues

xgx_conf_int()

xgx_conf_int returns a dataframe with mean +/- confidence intervals

xgx_dirs2char()

Append filenames to bottom of the plot

xgx_geom_ci()

Plot data with mean and confidence intervals

xgx_geom_pi()

Plot data with median and percent intervals

xgx_labels_log10()

Nice labels for log10.

xgx_minor_breaks_log10()

Sets the default minor_breaks for log10 scales

xgx_plot()

Create a new xgx plot

xgx_save()

Saving plot, automatically annotating the status and denoting the filenames

xgx_save_table()

Saving table as an image, also labeling the program that created the table and where the table is stored

xgx_scale_x_log10()

log10 scales the x axis with a "pretty" set of breaks

xgx_scale_x_reverselog10()

Reverse-log transform for the x scale.

xgx_scale_x_time_units() xgx_scale_y_time_units()

Convert time units for plotting

xgx_scale_y_log10()

log10 scales the y axis with a "pretty" set of breaks

xgx_scale_y_percentchangelog10() xgx_scale_x_percentchangelog10()

percentchangelog10 transform for the y scale.

xgx_scale_y_reverselog10()

Reverselog transform for the y scale.

xgx_stat_ci()

Plot data with mean and confidence intervals

xgx_stat_pi()

Plot data with median and percent intervals

xgx_stat_smooth() xgx_geom_smooth() xgx_geom_smooth_emax()

Wrapper for stat_smooth

xgx_summarize_covariates()

Summarize Covariate information in a dataset

xgx_summarize_data()

Check data for various issues

xgx_theme()

Calls the standard theme for xGx graphics

xgx_theme_set()

Sets the standard theme for xGx graphics