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Package: vistributions | ||
Type: Package | ||
Title: Visualize Probability Distributions | ||
Version: 0.1.0.9000 | ||
Version: 0.1.1 | ||
Authors@R: person("Aravind", "Hebbali", email = "[email protected]", role = c("aut", "cre")) | ||
Description: Visualize and compute percentiles/probabilities of normal, t, f, chi square | ||
and binomial distributions. | ||
Depends: | ||
R(>= 3.1) | ||
Imports: | ||
ggplot2, | ||
magrittr, | ||
shiny, | ||
stats, | ||
utils, | ||
xplorerr | ||
utils | ||
Suggests: | ||
testthat, | ||
knitr, | ||
rmarkdown | ||
rmarkdown, | ||
shinyBS, | ||
shinycssloaders, | ||
shinythemes | ||
License: MIT + file LICENSE | ||
URL: https://github.com/rsquaredacademy/vistributions, https://vistributions.rsquaredacademy.com | ||
BugReports: https://github.com/rsquaredacademy/vistributions/issues | ||
|
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# vistributions 0.1.1 | ||
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This is a patch release to fix bugs in the app. | ||
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# vistributions 0.1.0 | ||
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* Added a `NEWS.md` file to track changes to the package. |
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## Test environments | ||
* local Windows 10 install, R 3.5.1 | ||
* ubuntu 14.04 (on travis-ci), R 3.5.1 | ||
* local Windows 10, R 3.5.2 | ||
* ubuntu 14.04 (on travis-ci), R 3.4.4, R 3.5.2, R devel | ||
* win-builder (devel and release) | ||
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## R CMD check results | ||
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0 errors | 0 warnings | 1 note | ||
0 errors | 0 warnings | 0 note | ||
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* This is a new release. |
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output$binom_shape <- renderPlot({ | ||
vdist_binom_plot(input$binom_n, input$binom_p) | ||
}) | ||
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output$bprob_plot <- renderPlot({ | ||
if (input$bprob_tail != 'interval') { | ||
vdist_binom_prob(input$bprob_n, input$bprob_p, input$bprob_s, input$bprob_tail) | ||
} else { | ||
vdist_binom_prob(input$bprob_n, input$bprob_p, | ||
c(input$bprob_tail_1, input$bprob_tail_2), input$bprob_tail) | ||
} | ||
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}) | ||
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output$bperc_plot <- renderPlot({ | ||
vdist_binom_perc(input$bperc_n, input$bperc_p, input$bperc_tp, input$bperc_tail) | ||
}) |
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output$chisq_shape <- renderPlot({ | ||
vdist_chisquare_plot(input$chisq_df, as.logical(input$chisq_norm)) | ||
}) | ||
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output$chiprob_plot <- renderPlot({ | ||
vdist_chisquare_prob(input$chiprob_p, input$chiprob_df, input$chiprob_tail) | ||
}) | ||
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output$chiperc_plot <- renderPlot({ | ||
print(vdist_chisquare_perc(input$chiperc_p, input$chiperc_df, input$chiperc_tail)) | ||
}) |
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# Exit --------------------------------------------------------------- | ||
observe({ | ||
if (isTRUE(input$mainpage == "exit")) { | ||
stopApp() | ||
} | ||
}) |
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output$f_shape <- renderPlot({ | ||
vdist_f_plot(input$f_numdf, input$f_dendf, as.logical(input$f_norm)) | ||
}) | ||
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output$fprob_plot <- renderPlot({ | ||
vdist_f_prob(input$fprob_p, input$fprob_numdf, input$fprob_dendf, input$fprob_tail) | ||
}) | ||
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output$fperc_plot <- renderPlot({ | ||
vdist_f_perc(input$fperc_p, input$fperc_numdf, input$fperc_dendf, input$fperc_tail) | ||
}) |
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