Package index • xgxr

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