Package: interpretCI 0.1.2

interpretCI: Estimate the Confidence Interval and Interpret Step by Step

Estimate confidence intervals for mean, proportion, mean difference for unpaired and paired samples and proportion difference. Plot the confidence intervals. Generate documents explaining the statistical result step by step.

Authors:Keon-Woong Moon [aut, cre]

interpretCI_0.1.2.tar.gz
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interpretCI_0.1.2.tgz(r-4.4-any)interpretCI_0.1.2.tgz(r-4.3-any)
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interpretCI.pdf |interpretCI.html
interpretCI/json (API)
NEWS

# Install 'interpretCI' in R:
install.packages('interpretCI', repos = c('https://cardiomoon.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/cardiomoon/interpretci/issues

On CRAN:

6.01 score 4 stars 47 scripts 393 downloads 28 exports 98 dependencies

Last updated 3 years agofrom:d11e0d16a3. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winNOTEOct 29 2024
R-4.5-linuxNOTEOct 29 2024
R-4.4-winNOTEOct 29 2024
R-4.4-macNOTEOct 29 2024
R-4.3-winNOTEOct 29 2024
R-4.3-macNOTEOct 29 2024

Exports:%>%acsdraw_ndraw_tdraw_x2Englishenglish2estimationPlot1interpretis.mynumericisProvidedmeanCImeanCI_submeanCI2meanCI2dfmeanCI2df1meanCIplot1pairPlotpairPlot1palette2colorspropCIpropCI_subrstudio_viewerselectshow_t_tableshow_x2_tableshow_z_tabletextBox

Dependencies:aplotaskpassbase64encbeeswarmbslibcachemclicolorspacecpp11crayondata.tabledatawizarddigestdplyrenglishevaluatefansifarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverfsgdtoolsgenericsggbeeswarmggfunggplot2ggplotifygluegridGraphicsgtablehighrhmshtmltoolsinsightisobandjanitorjquerylibjsonliteknitrlabelinglatticelifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemoonBookmunsellnlmenortestofficeropensslpatchworkpillarpkgconfigpurrrR6raggrappdirsRColorBrewerRcpprlangrmarkdownrstudioapisassscalessjlabelledsjmiscsnakecasestringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttimechangetinytexutf8uuidvctrsviporviridisLitewithrxfunxml2yamlyulab.utilszip

Confidence interval for a mean

Rendered fromConfidence_interval_for_a_mean.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-01-26
Started: 2022-01-26

Confidence interval for a proportion

Rendered fromConfidence_interval_for_a_proportion.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-01-26
Started: 2022-01-26

Confidence interval for the difference between proportions

Rendered fromConfidence_interval_for_proportion_difference.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-01-27
Started: 2022-01-26

Confidence interval for the paired mean difference

Rendered fromConfidence_interval_for_paired_mean_difference.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-01-26
Started: 2022-01-26

Confidence interval for the unpaired mean difference

Rendered fromConfidence_interval_for_unpaired_mean_difference.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-01-26
Started: 2022-01-26

Hypothesis test for a mean

Rendered fromHypothesis_test_for_a_mean.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-01-26
Started: 2022-01-26

Hypothesis test for a proportion

Rendered fromHypothesis_test_for_a_proportion.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-01-26
Started: 2022-01-26

Hypothesis test for a difference between means

Rendered fromHypothesis_test_Unpaired_Mean_diff.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-01-26
Started: 2022-01-26

Hypothesis test for the difference between paired means

Rendered fromHypothesis_test_Paired_Mean_Diff.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-01-27
Started: 2022-01-26

Hypothesis test for the difference between proportions

Rendered fromHypotheis_test_for_a_difference_between_proportions.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-01-26
Started: 2022-01-26

R package interpretCI

Rendered fromPackage_interpretCI.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-01-26
Started: 2022-01-26

Readme and manuals

Help Manual

Help pageTopics
Demographic data of 857 patients with ACSacs
Draw normal distribution curvedraw_n
Draw t distribution curvedraw_t
Draw chi-squared distribution curvedraw_x2
Convert numeric to string with uppercase first letterEnglish
Convert numeric to stringenglish2
Draw estimation plot1estimationPlot1
Interpret an object of meanCIinterpret
Decide whether a vector can be treated as a numeric variableis.mynumeric
Whether the arg is provided in function callisProvided
Calculate confidence intervals of mean or difference between meansmeanCI
Calculate confidence intervals of mean or difference between means in a data.framemeanCI.data.frame meanCI_sub
Calculate confidence intervals of mean or difference between meansmeanCI.default meanCI2
Prepare data to plot from an object of class meanCImeanCI2df
Extract data from an object of class meanCImeanCI2df1
Draw meanCI plot for data with single vectormeanCIplot1
Draw a pair plot with an object of class meanCIpairPlot
Draw a pair plotpairPlot1
Extract hexadecimal colors from a color palettepalette2colors
S3 method for an object of class "meanCI"plot.meanCI
S3 method "print" for class "meanCI"print.meanCI
S3 method for class plotCIprint.plotCI
Calculate confidence intervals of proportion or difference between proportionspropCI
Calculate confidence intervals of proportion or difference between proportions in a data.framepropCI_sub
Show html file in RStudio viewer or browserrstudio_viewer
Show t-value tableshow_t_table
Show chisquare tableshow_x2_table
Show z-value tableshow_z_table
Draw textboxtextBox