diff --git a/README.md b/README.md
index c3c2f28..0167cd4 100644
--- a/README.md
+++ b/README.md
@@ -2,17 +2,26 @@ sure: Surrogate Residuals 
-[](https://travis-ci.org/koalaverse/sure) [](https://ci.appveyor.com/project/koalaverse/sure) [](https://codecov.io/gh/koalaverse/sure)
+[](https://travis-ci.org/koalaverse/sure)
+[](https://ci.appveyor.com/project/koalaverse/sure)
+[](https://codecov.io/gh/koalaverse/sure)
Overview
--------
-An R package for constructing **SU**rrogate-based **RE**siduals and diagnostics for ordinal and general regression models; based on the approach described in [Dungang and Zhang (2017)](http://www.tandfonline.com/doi/abs/10.1080/01621459.2017.1292915?journalCode=uasa20).
+An R package for constructing **SU**rrogate-based **RE**siduals and
+diagnostics for ordinal and general regression models; based on the
+approach described in [Dungang and Zhang
+(2017)](http://www.tandfonline.com/doi/abs/10.1080/01621459.2017.1292915?journalCode=uasa20).
Installation
------------
-The `sure` package is [currently listed on CRAN](https://CRAN.R-project.org/package=sure) and can easily be installed:
+The `sure` package is [currently listed on
+CRAN](https://CRAN.R-project.org/package=sure) and can easily be
+installed:
``` r
# Install from CRAN (recommended)
@@ -26,6 +35,12 @@ devtools::install_github("koalaverse/sure")
References
----------
-Liu, D. and Zhang, H. Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach. *Journal of the American Statistical Association* (accepted). URL
+Liu, D. and Zhang, H. Residuals and Diagnostics for Ordinal Regression
+Models: A Surrogate Approach. *Journal of the American Statistical
+Association* (accepted). URL
+
-Greenwell, B.M., McCarthy, A.J., Boehmke, B.C. & Dungang, L. (2018) "Residuals and diagnostics for binary and ordinal regression models: An introduction to the sure package." The R Journal (pre-print). URL
+Greenwell, B.M., McCarthy, A.J., Boehmke, B.C. & Dungang, L. (2018)
+“Residuals and diagnostics for binary and ordinal regression models: An
+introduction to the sure package.” The R Journal (pre-print). URL
+
diff --git a/man/figures/sure-logo.png b/man/figures/sure-logo.png
index c4ee000..c3958d9 100644
Binary files a/man/figures/sure-logo.png and b/man/figures/sure-logo.png differ
diff --git a/tools/sure-logo.R b/tools/sure-logo.R
index a57812c..3c806bd 100644
--- a/tools/sure-logo.R
+++ b/tools/sure-logo.R
@@ -28,13 +28,15 @@ greys <- RColorBrewer::brewer.pal(9, "Greys")
# Hexagon logo
g <- ggplot() +
- geom_polygon(data = hex, aes(x, y), color = greys[7L], fill = greys[1L],
+ geom_polygon(data = hex, aes(x, y), color = greys[7L], fill = "white",
size = 3) +
geom_subview(subview = p, x = 0, y = 0, width = 1.75, height = 1.25) +
annotate(geom = "text", label = "sure", x = 0, y = -0.8,
- family = "Open Sans Light", color = greys[7L], size = 7) +
+ # family = "Open Sans Light",
+ color = greys[7L], size = 7) +
annotate(geom = "text", label = "SUrrogate REsiduals", x = 0, y = 0.7,
- family = "Open Sans Light", color = greys[7L], size = 3.5) +
+ # family = "Open Sans Light",
+ color = greys[7L], size = 3.5) +
coord_equal(xlim = range(hex$x), ylim = range(hex$y)) +
scale_x_continuous(expand = c(0.04, 0)) +
scale_y_reverse(expand = c(0.04, 0)) +
@@ -43,8 +45,8 @@ g <- ggplot() +
theme(axis.ticks.length = unit(0, "mm"))
print(g)
-png("tools/sure-logo.png", width = 181, height = 209, bg = "transparent",
- type = "cairo-png")
+png("man/figures/sure-logo.png", width = 181, height = 209, bg = "transparent",
+ type = "quartz")
print(g)
dev.off()
diff --git a/tools/sure-logo.svg b/tools/sure-logo.svg
index d37a38a..cb41555 100644
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