Style file

R/position-nudgestack.R

@@ -16,7 +16,7 @@
 #' ESM <- tsbox::ts_tbl(EuStockMarkets)
 #'
 #' ESM_prep <- ESM %>%
-#'   dplyr::mutate(time = as.Date(paste0(format(time, "%Y-%m"),"-1"))) %>%
+#'   dplyr::mutate(time = as.Date(paste0(format(time, "%Y-%m"), "-1"))) %>%
 #'   group_by(id, time) %>%
 #'   summarize(value = mean(value)) %>%
 #'   filter(time >= "1995-01-01" & time < "1998-01-01")

tests/testthat/test-position-nudgestack.R

@@ -1,16 +1,18 @@
 context("position_nudgestack")
 
 test_that("position_nudgestack draws correctly", {
-
   ESM <- tsbox::ts_tbl(EuStockMarkets)
 
   ESM_prep <- ESM %>%
-    dplyr::mutate(time = as.Date(paste0(format(time, "%Y-%m"),"-1"))) %>%
+    dplyr::mutate(time = as.Date(paste0(format(time, "%Y-%m"), "-1"))) %>%
     dplyr::group_by(id, time) %>%
     dplyr::summarize(value = mean(value)) %>%
     dplyr::filter(time >= "1995-01-01" & time < "1998-01-01")
 
-  stock_marked <- ggplot(data = ESM_prep, mapping = aes(x = time, y = value, fill = id)) +
+  stock_marked <- ggplot(
+    data = ESM_prep,
+    mapping = aes(x = time, y = value, fill = id)
+  ) +
     geom_col(position = position_nudgestack(x = 15))
 
   expect_doppelganger(
@@ -35,18 +37,17 @@ test_that("nudging works in both dimensions simultaneously", {
   expect_equal(data$xmin, 1.05:3.05)
   expect_equal(data$xmax, 1.95:3.95)
   expect_equal(data$y, 3:5)
-  expect_equal(data$ymin, c(2,2,2))
+  expect_equal(data$ymin, c(2, 2, 2))
   expect_equal(data$ymax, 3:5)
-
 })
 
 test_that("nudging works for discrete values correctly", {
   set.seed(111)
 
   # x nudge value for discrete data
   series <- data_frame(
-    time = factor(c(rep(1, 4),rep(2, 4), rep(3, 4), rep(4, 4))),
-    type = rep(c('a', 'b', 'c', 'd'), 4),
+    time = factor(c(rep(1, 4), rep(2, 4), rep(3, 4), rep(4, 4))),
+    type = rep(c("a", "b", "c", "d"), 4),
     value = rpois(16, 10)
   )
 
@@ -56,10 +57,9 @@ test_that("nudging works for discrete values correctly", {
 
   data <- layer_data(p)
 
-  expect_equal(data$x, c(rep(1.5, 4),rep(2.5, 4), rep(3.5, 4), rep(4.5, 4)))
-  expect_equal(data$xmin, c(rep(1.5, 4),rep(2.5, 4), rep(3.5, 4), rep(4.5, 4)))
-  expect_equal(data$xmax, c(rep(1.5, 4),rep(2.5, 4), rep(3.5, 4), rep(4.5, 4)))
-
+  expect_equal(data$x, c(rep(1.5, 4), rep(2.5, 4), rep(3.5, 4), rep(4.5, 4)))
+  expect_equal(data$xmin, c(rep(1.5, 4), rep(2.5, 4), rep(3.5, 4), rep(4.5, 4)))
+  expect_equal(data$xmax, c(rep(1.5, 4), rep(2.5, 4), rep(3.5, 4), rep(4.5, 4)))
 })
 
 
@@ -78,9 +78,9 @@ test_that("data is sorted prior to stacking", {
 
 test_that("negative and positive values are handled separately", {
   df <- data_frame(
-    x = c(1,1,1,2,2),
-    g = c(1,2,3,1,2),
-    y = c(1,-1,1,2,-3)
+    x = c(1, 1, 1, 2, 2),
+    g = c(1, 2, 3, 1, 2),
+    y = c(1, -1, 1, 2, -3)
   )
   p <- ggplot(df, aes(x, y, fill = factor(g))) +
     geom_col(position = position_nudgestack(x = 0.5))
@@ -110,4 +110,3 @@ test_that("position_nudgestack() can stack correctly when ymax is NA", {
     geom_point(position = position_nudgestack(x = 0.5))
   expect_equal(layer_data(p)$y, c(1, 2))
 })
-