Package: dvmisc 1.1.5

dvmisc: Convenience Functions, Moving Window Statistics, and Graphics

Collection of functions for running and summarizing statistical simulation studies, creating visualizations (e.g. CART Shiny app, histograms with fitted probability mass/density functions), calculating moving-window statistics efficiently, and performing common computations.

Authors:Dane R. Van Domelen

dvmisc_1.1.5.tar.gz
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dvmisc_1.1.5.tgz(r-4.6-x86_64)dvmisc_1.1.5.tgz(r-4.6-arm64)dvmisc_1.1.5.tgz(r-4.5-x86_64)dvmisc_1.1.5.tgz(r-4.5-arm64)
dvmisc_1.1.5.tar.gz(r-4.7-arm64)dvmisc_1.1.5.tar.gz(r-4.7-x86_64)dvmisc_1.1.5.tar.gz(r-4.6-arm64)dvmisc_1.1.5.tar.gz(r-4.6-x86_64)
dvmisc_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
dvmisc/json (API)

# Install 'dvmisc' in R:

install.packages('dvmisc', repos = c('https://vandomed.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vandomed/dvmisc/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

aic bmi histograms miscellaneous cpp

6.18 score 1 stars 6 packages 168 scripts 325 downloads 63 exports 91 dependencies

Last updated from:a4c5a9094a. Checks:11 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	269
linux-devel-x86_64	NOTE	230
source / vignettes	OK	311
linux-release-arm64	NOTE	210
linux-release-x86_64	NOTE	230
macos-release-arm64	NOTE	178
macos-release-x86_64	NOTE	490
macos-oldrel-arm64	NOTE	171
macos-oldrel-x86_64	NOTE	299
windows-devel	NOTE	208
windows-release	NOTE	209
windows-oldrel	NOTE	195
wasm-release	OK	194

Exports:bmi3 bmi4 cart_app clean_glm cleancut create_qgroups create_qgroups_svy cut_decreasing dots_bars expand_grid gammareg get_mse gg_facebook gg_quicksave gg_twitter headtail histo inside interval_groups iterate list_override logit_prob lognormalreg logodds_graph max_n mean_i means_graph min_n mle_gamma mle_gamma_lnorm mle_lnorm mle_lnorm_lnorm moving_mean n_2t_equal n_2t_unequal odds_prob plot_ll pooled_var power_2t_equal power_2t_unequal prob_logit prob_odds quant_groups quant_groups_svy ral reverse_cut sliding_cor sliding_cov snip sum_i sumsim trim truerange which_max_im which_max_iv which_max_nm which_max_nv which_min_im which_min_iv which_min_nm which_min_nv which.max2 which.min2

Dependencies:base64enc bitops bslib cachem cli commonmark cpp11 cubature data.table datawizard DBI digest dplyr evaluate farver fastmap fontawesome fs generics ggplot2 glue gtable highr htmltools httpuv insight isoband jquerylib jsonlite kableExtra knitr labeling later lattice lifecycle lubridate magrittr MASS Matrix memoise mime minqa mitools mvtnorm numDeriv otel pillar pkgconfig pracma promises purrr R6 rappdirs rattle rbenchmark RColorBrewer Rcpp RcppArmadillo rlang rmarkdown rpart rpart.plot rstudioapi S7 sass scales shiny sjlabelled sourcetools stringi stringr survey survival svglite systemfonts tab textshaping tibble tidyr tidyselect timechange tinytex utf8 vctrs viridisLite withr xfun XML xml2 xtable yaml

Convenience Functions, Moving Window Statistics, and Graphics

Rendered fromdvmisc.Rmdusingknitr::rmarkdown

Last update: 2018-03-24
Started: 2018-03-21

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Convert Continuous BMI Values into 3-Level Factor	bmi3
Convert Continuous BMI Values into 4-Level Factor	bmi4
Shiny App Interface with rpart::rpart	cart_app
Create a Clean Summary Table from a glm Object	clean_glm
Convert Numeric to Factor with Convenient Interface	cleancut
Create Quantile Groups	create_qgroups
Create Quantile Groups (Complex Survey Data)	create_qgroups_svy
Cut with Decreasing Factor Levels	cut_decreasing
Plot Points +/- Error Bars	dots_bars
Convenience Functions, Moving Window Statistics, and Graphics	dvmisc
Similar to expand.grid but with Sequences Reversed and Ability to Treat Variables as Sets	expand_grid
Constant-Scale Gamma Model for Y vs. Covariates with Y Potentially Subject to Multiplicative Lognormal Errors	gammareg
Extract Mean Squared Error (MSE) from Fitted Regression Model	get_mse
Quickly Format and Save a ggplot Object for Posting to Facebook	gg_facebook
Quickly Format and Save a ggplot Object with Reasonable Defaults	gg_quicksave
Quickly Format and Save a ggplot Object for Posting to Twitter	gg_twitter
Return the First and Last Part of an Object	headtail
Histogram with Added Options	histo
Check Whether Numeric Value Falls Inside Two Other Numeric Values	inside
Split Continuous Variable into Equal-Width Groups	interval_groups
Iterate Function Over All Combinations of User-Specified Inputs, Potentially Multiple Times	iterate
Add Elements of Second List to First List, Replacing Elements with Same Name	list_override
Convert Logit to Probability	logit_prob
Linear Regression of log(Y) vs. Covariates with Y Potentially Subject to Multiplicative Lognormal Errors	lognormalreg
Graph Log-Odds of Binary Variable Across A Grouping Variable	logodds_graph
Maximum of Numeric Values	max_n
Mean of Integer Values	mean_i
Graph Means Across a Grouping Variable	means_graph
Minimum of Numeric Values	min_n
Maximum Likelihood Estimation for X[1], ..., X[n] ~ Gamma(alpha, beta)	mle_gamma
Maximum Likelihood Estimation for X[1], ..., X[n] ~ Gamma(alpha, beta) Lognormal(mu, sigsq)	mle_gamma_lnorm
Maximum Likelihood Estimation for X[1], ..., X[n] ~ Lognormal(mu, sigsq)	mle_lnorm
Maximum Likelihood Estimation for X[1], ..., X[n] ~ Lognormal(mu1, sigsq1) Lognormal(mu2, sigsq2)	mle_lnorm_lnorm
Moving Averages	moving_mean
Calculate Per-Group Sample Size for Two-Sample Equal Variance T-Test	n_2t_equal
Calculate Per-Group Sample Size for Two-Sample Unequal Variance T-Test	n_2t_unequal
Convert Odds to Probability	odds_prob
Plot Log-Likelihood vs. Values of One Parameter	plot_ll
Pooled Sample Variance	pooled_var
Calculate Power for Two-Sample Equal Variance T-Test	power_2t_equal
Calculate Power for Two-Sample Unequal Variance T-Test	power_2t_unequal
Convert Probability to Logit	prob_logit
Convert Probability to Odds	prob_odds
Split Continuous Variable into Quantile Groups	quant_groups
Split Continuous Variable into Quantile Groups (Survey Version)	quant_groups_svy
Remove All Labels	ral
Reverse Cut	reverse_cut
Moving Correlations as Short Vector Slides Across Long Vector	sliding_cor
Moving Covariance as Short Vector Slides Across Long Vector	sliding_cov
Prep for Snipping or Copy/Pasting out of R	snip
Sum of Integer Values	sum_i
Summarize Simulation Results	sumsim
Trim Tail Values off of a Vector	trim
Range of a Vector (Not Min/Max!)	truerange
Return (Row, Column) Index of (First) Maximum of an Integer Matrix	which_max_im
Return Index of (First) Maximum of an Integer Vector	which_max_iv
Return (Row, Column) Index of (First) Maximum of a Numeric Matrix	which_max_nm
Return Index of (First) Maximum of a Numeric Vector	which_max_nv
Return (Row, Column) Index of (First) Minimum of an Integer Matrix	which_min_im
Return Index of (First) Minimum of an Integer Vector	which_min_iv
Return (Row, Column) Index of (First) Minimum of a Numeric Matrix	which_min_nm
Return Index of (First) Minimum of a Numeric Vector	which_min_nv
Return Index of (First) Maximum of a Vector	which.max2
Return Index of (First) Minimum of a Vector	which.min2