Merge pull request #42 from rsquaredacademy/develop

CRAN release
rsquaredacademy · Nov 7, 2024 · 4b9ceec · 4b9ceec
2 parents 08030d6 + 31ed371
commit 4b9ceec
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: vistributions
 Type: Package
 Title: Visualize Probability Distributions
-Version: 0.1.2.9000
+Version: 0.2.0
 Authors@R: person("Aravind", "Hebbali", email = "hebbali.aravind@gmail.com", role = c("aut", "cre"))
 Description: Visualize and compute percentiles/probabilities of normal, t, f, chi square 
     and binomial distributions.

diff --git a/NEWS.md b/NEWS.md
@@ -1,3 +1,7 @@
+# vistributions 0.2.0
+
+This is a minor release for bug fixes.
+
 # vistributions 0.1.2
 
 This is a patch release to fix CRAN note about lazy data.

diff --git a/R/vdist-plots.R b/R/vdist-plots.R
@@ -89,7 +89,7 @@ bperc_plot_build <- function(data, method, n, p, tp) {
   }
 
   return(plot)
-  
+
 }
 
 cplot_plot_build <- function(data, df, range, normal) {
@@ -98,7 +98,7 @@ cplot_plot_build <- function(data, df, range, normal) {
     ggplot(data$plot_data) +
     geom_line(aes(x, chi),
               color = '#4682B4',
-              size  = 2) +
+              linewidth  = 2) +
     ggtitle(label    = "Chi Square Distribution",
             subtitle = paste("df =", df)) +
     ylab('') +
@@ -191,7 +191,7 @@ cperc_plot_build <- function(data, method, probs, df) {
     plot +
     geom_vline(xintercept = data$pp,
                linetype   = 2,
-               size       = 1) +
+               linewidth  = 1) +
     geom_point(data       = data$point_data,
                mapping    = aes(x = x, y = y),
                shape      = 4,
@@ -267,7 +267,7 @@ cprob_plot_build <- function(data, method, perc, df) {
     gplot +
     geom_vline(xintercept = perc,
                linetype   = 2,
-               size       = 1) +
+               linewidth = 1) +
     geom_point(data       = data$point_data,
                mapping    = aes(x = x, y = y),
                shape      = 4,
@@ -388,7 +388,7 @@ fperc_plot_build <- function(data, probs, num_df, den_df, method) {
       gplot +
       geom_vline(xintercept = data$pp[i],
                  linetype   = 2,
-                 size       = 1) +
+                 linewidth  = 1) +
       geom_point(data    = point_data,
                  mapping = aes(x = x, y = y),
                  shape   = 4,
@@ -472,7 +472,7 @@ fprob_plot_build <- function(data, perc, num_df, den_df, method) {
       gplot +
       geom_vline(xintercept = perc[i],
                  linetype   = 2,
-                 size       = 1) +
+                 linewidth  = 1) +
       geom_point(data    = point_data,
                  mapping = aes(x = x, y = y),
                  shape   = 4,
@@ -615,7 +615,7 @@ nperc_plot_build <- function(data, probs, mean, sd, method) {
       gplot +
       geom_vline(xintercept = data$pp[i],
                  linetype   = 2,
-                 size       = 1) +
+                 linewidth  = 1) +
       geom_point(data    = point_data,
                  mapping = aes(x = x, y = y),
                  shape   = 4,
@@ -720,7 +720,7 @@ nprob_plot_build <- function(data, perc, mean, sd, method) {
       gplot +
       geom_vline(xintercept = perc[i],
                  linetype   = 2,
-                 size       = 1) +
+                 linewidth  = 1) +
       geom_point(data    = point_data,
                  mapping = aes(x = x, y = y),
                  shape   = 4,
@@ -849,7 +849,7 @@ tperc_plot_build <- function(data, probs, df, method) {
       gplot +
       geom_vline(xintercept = data$pp[i],
                  linetype   = 2,
-                 size       = 1) +
+                 linewidth  = 1) +
       geom_point(data    = point_data,
                  mapping = aes(x = x, y = y),
                  shape   = 4,
@@ -910,7 +910,7 @@ tprob_plot_build <- function(data, perc, df, method) {
                size  = 3) +
       geom_vline(xintercept = perc,
                  linetype   = 2,
-                 size       = 1) +
+                 linewidth  = 1) +
       geom_point(data    = point_data,
                  mapping = aes(x = x, y = y),
                  shape   = 4,
@@ -939,7 +939,7 @@ tprob_plot_build <- function(data, perc, df, method) {
                size  = 3) +
       geom_vline(xintercept = perc,
                  linetype   = 2,
-                 size       = 1) +
+                 linewidth  = 1) +
       geom_point(data    = point_data,
                  mapping = aes(x = x, y = y),
                  shape   = 4,
@@ -974,10 +974,10 @@ tprob_plot_build <- function(data, perc, df, method) {
                size  = 3) +
       geom_vline(xintercept = perc,
                  linetype   = 2,
-                 size       = 1) +
+                 linewidth  = 1) +
       geom_vline(xintercept = -perc,
                  linetype   = 2,
-                 size       = 1) +
+                 linewidth  = 1) +
       geom_point(data    = point_data,
                  mapping = aes(x = x1, y = y),
                  shape   = 4,
@@ -1016,10 +1016,10 @@ tprob_plot_build <- function(data, perc, df, method) {
                size  = 3) +
       geom_vline(xintercept = perc,
                  linetype   = 2,
-                 size       = 1) +
+                 linewidth  = 1) +
       geom_vline(xintercept = -perc,
                  linetype   = 2,
-                 size       = 1) +
+                 linewidth  = 1) +
       geom_point(data    = point_data,
                  mapping = aes(x = x1, y = y),
                  shape   = 4,

diff --git a/README.Rmd b/README.Rmd
@@ -19,7 +19,7 @@ knitr::opts_chunk$set(
 <!-- badges: start -->
 [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/vistributions)](https://cran.r-project.org/package=vistributions) 
 [![R-CMD-check](https://github.com/rsquaredacademy/vistributions/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/rsquaredacademy/vistributions/actions/workflows/R-CMD-check.yaml)
-[![Coverage Status](https://img.shields.io/codecov/c/github/rsquaredacademy/vistributions/master.svg)](https://codecov.io/github/rsquaredacademy/vistributions?branch=master)  
+[![Coverage Status](https://img.shields.io/codecov/c/github/rsquaredacademy/vistributions/master.svg)](https://app.codecov.io/github/rsquaredacademy/vistributions?branch=master)  
 <!-- badges: end -->
 
 ## Installation

diff --git a/README.md b/README.md
@@ -10,7 +10,7 @@
 [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/vistributions)](https://cran.r-project.org/package=vistributions)
 [![R-CMD-check](https://github.com/rsquaredacademy/vistributions/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/rsquaredacademy/vistributions/actions/workflows/R-CMD-check.yaml)
 [![Coverage
-Status](https://img.shields.io/codecov/c/github/rsquaredacademy/vistributions/master.svg)](https://codecov.io/github/rsquaredacademy/vistributions?branch=master)  
+Status](https://img.shields.io/codecov/c/github/rsquaredacademy/vistributions/master.svg)](https://app.codecov.io/github/rsquaredacademy/vistributions?branch=master)  
 <!-- badges: end -->
 
 ## Installation

diff --git a/cran-comments.md b/cran-comments.md
@@ -1,8 +1,3 @@
-## Test environments
-* local Windows 10 install, R 4.0.4
-* ubuntu 14.04 (on GitHub Actions), R 4.1.0, R-devel
-* win-builder (devel and release)
-
 ## R CMD check results
 
 0 errors | 0 warnings | 0 note