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xgxr  

Exploratory Graphics for Pharmacometrics
View on CRAN: Click here


Download and install xgxr package within the R console
Install from CRAN:
install.packages("xgxr")

Install from Github:
library("remotes")
install_github("cran/xgxr")

Install by package version:
library("remotes")
install_version("xgxr", "1.1.2")



Attach the package and use:
library("xgxr")
Maintained by
Andrew Stein
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-10
Latest Update: 2023-03-22
Description:
Supports a structured approach for exploring PKPD data <https://opensource.nibr.com/xgx/>. It also contains helper functions for enabling the modeler to follow best R practices (by appending the program name, figure name location, and draft status to each plot). In addition, it enables the modeler to follow best graphical practices (by providing a theme that reduces chart ink, and by providing time-scale, log-scale, and reverse-log-transform-scale functions for more readable axes). Finally, it provides some data checking and summarizing functions for rapidly exploring pharmacokinetics and pharmacodynamics (PKPD) datasets.
How to cite:
Andrew Stein (2019). xgxr: Exploratory Graphics for Pharmacometrics. R package version 1.1.2, https://cran.r-project.org/web/packages/xgxr
Previous versions and publish date:
1.0.0 (2019-08-10 11:30), 1.0.2 (2019-08-21 23:50), 1.0.3 (2019-09-28 15:20), 1.0.4 (2019-10-10 16:50), 1.0.5 (2019-10-17 21:20), 1.0.6 (2019-12-09 18:10), 1.0.7 (2020-01-10 22:10), 1.0.9 (2020-04-14 14:20), 1.1.0 (2021-02-04 18:40), 1.1.1 (2021-04-22 21:20)
Other packages that cited xgxr R package
View xgxr citation profile
Other R packages that xgxr depends, imports, suggests or enhances
Functions, R codes and Examples using the xgxr R package
Some associated functions: StatSmoothOrdinal . StatSummaryBinQuant . StatSummaryOrdinal . case1_pkpd . edit_rmd_template_str . get_rmd_name . get_rmd_str . mad . mad_missing_duplicates . mad_nca . nlmixr_theo_sd . pipe . predict.nls . predictdf.nls . predictdf . predictdf.polr . reexports . sad . theme_xgx . xgx_annotate_filenames . xgx_annotate_status . xgx_annotate_status_png . xgx_auto_explore . xgx_breaks_log10 . xgx_breaks_time . xgx_check_data . xgx_conf_int . xgx_dirs2char . xgx_geom_ci . xgx_geom_pi . xgx_labels_log10 . xgx_minor_breaks_log10 . xgx_plot . xgx_save . xgx_save_table . xgx_scale_x_log10 . xgx_scale_x_reverselog10 . xgx_scale_x_time_units . xgx_scale_y_log10 . xgx_scale_y_percentchangelog10 . xgx_scale_y_reverselog10 . xgx_stat_ci . xgx_stat_pi . xgx_stat_smooth . xgx_summarize_covariates . xgx_summarize_data . xgx_theme . xgx_theme_set . 
Some associated R codes: data.R . predict.nls.R . theme_xgx.R . utils-pipe.R . xgx_annotate_filenames.R . xgx_annotate_status.R . xgx_annotate_status_png.R . xgx_auto_explore.R . xgx_breaks_log10.R . xgx_breaks_time.R . xgx_check_data.R . xgx_dirs2char.R . xgx_geom_ci.R . xgx_geom_pi.R . xgx_labels_log10.R . xgx_minor_breaks_log10.R . xgx_plot.R . xgx_save.R . xgx_save_table.R . xgx_scale_x_log10.R . xgx_scale_x_reverselog10.R . xgx_scale_x_time_units.R . xgx_scale_y_log10.R . xgx_scale_y_percentchangelog10.R . xgx_scale_y_reverselog10.R . xgx_stat_ci.R . xgx_stat_pi.R . xgx_stat_smooth.R . xgx_summarize_covariates.R . xgx_summarize_data.R . xgx_theme.R . xgx_theme_set.R .  Full xgxr package functions and examples
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