v1.0.1

.Rbuildignore

@@ -18,3 +18,5 @@ vignettes/precompile\.R
 ^CRAN-SUBMISSION$
 ^README\.Rmd$
 ^.mailmap$
+^\.positai$
+^\.claude$

.gitignore

@@ -15,3 +15,4 @@ CRAN-SUBMISSION
 toadd/*
 .data.csv
 cache/*
+.positai

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: autograph
 Title: Automatic Plotting and Theming of Many Graphs
-Version: 1.0.0
-Date: 2026-04-04
+Version: 1.0.1
+Date: 2026-04-30
 Description: Visual exploration and presentation of networks should not be difficult.
    This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults.
    It includes 'ggplot2'-based plot methods for many popular network package classes.

NEWS.md

@@ -1,3 +1,18 @@
+# autograph 1.0.1
+
+## Package
+
+- Updated the logo
+- Fixed the error in some flavours by removing environment references in included objects
+
+## Plotting
+
+- Closed #44 by adding example that uses `ggplot2::scale_colour_discrete()` to tweak colour output
+
+## Tutorials
+
+- Fixed the tutorial to use netrics functions
+
 # autograph 1.0.0
 
 ## Package

R/plot_interp.R

@@ -37,6 +37,7 @@ NULL
 #'   Use `quad = FALSE` for similarity effects.
 #' @examples
 #' plot(siena_selection)
+#' plot(siena_selection) + ggplot2::scale_colour_discrete()
 #' @export
 plot.selectionTable <- function(x, quad = TRUE, separation = 0, ...){
 

cran-comments.md

@@ -9,4 +9,4 @@
 
 0 errors | 0 warnings | 0 notes
 
-- Updates to bring autograph into line with latest version of manynet (> v2.0.0)
+- Fixed the error in some flavours by removing environment references in included objects

inst/tutorials/tutorial2/visualisation.Rmd

@@ -272,8 +272,8 @@
 to the node.
 
 ```{r degsize, exercise = TRUE, fig.width=9}
 fict_lotr %>% 
-  mutate(Degree = node_deg(fict_lotr)) %>% 
+  mutate(Degree = node_by_deg(fict_lotr)) %>% 
   graphr(node_size = "Degree")
 ```
 
@@ -290,9 +290,9 @@
 then `graphr()` will even try to use this information automatically.
 
 ```{r tiesize, exercise = TRUE, fig.width=9}
 fict_lotr %>% 
-  mutate_ties(weight = tie_closeness(fict_lotr),
+  mutate_ties(weight = tie_by_closeness(fict_lotr),
               is_tri = tie_is_triangular(fict_lotr)) %>% 
   graphr(edge_color = "is_tri")
 ```
 
@@ -336,10 +336,10 @@
 
 ```{r colorch, exercise=TRUE, fig.width=9}
 graphr(fict_lotr,
            node_color = "Race")
 
 graphr(fict_lotr,
            node_color = "Race") +
   ggplot2::scale_fill_hue()
 ```
 
@@ -444,7 +444,7 @@
 
 ```{r maxbet, exercise = TRUE, fig.width=9}
 fict_lotr %>% 
-  mutate(maxbet = node_is_max(node_betweenness(fict_lotr))) %>% 
+  mutate(maxbet = node_is_max(node_by_betweenness(fict_lotr))) %>% 
   graphr(node_color = "maxbet")
 ```
 
@@ -457,7 +457,7 @@
 
 ```{r legend, exercise=TRUE, fig.width=9}
 fict_lotr %>% 
-  mutate(maxbet = node_is_max(node_betweenness(fict_lotr))) %>% 
+  mutate(maxbet = node_is_max(node_by_betweenness(fict_lotr))) %>% 
   graphr(node_color = "maxbet") +
   guides(color = "legend") + 
   labs(color = "Maximum\nBetweenness")
@@ -519,7 +519,7 @@
 
 The _Stress Minimisation_ (stress) method is related to the KK algorithm,
 but offers better runtime, quality, and stability and so is generally preferred.
-Indeed, `{manynet}` uses it as the default for most networks.
+Indeed, `{autograph}` uses it as the default for most networks.
 It has the advantage of returning the same layout each time it is run on the same network.
 
 ```{r layoutinterp-Q, echo=FALSE, purl = FALSE}
@@ -679,10 +679,10 @@
 it is very useful for visualising changes in networks over time.
 
 ```{r grapht, exercise=TRUE}
-fict_lotr %>%
-  mutate_ties(year = sample(1:12, 66, replace = TRUE)) %>%
-  to_waves(attribute = "year", cumulative = TRUE) %>%
-  grapht()
+# fict_lotr %>%
+  # mutate_ties(year = sample(1:12, 66, replace = TRUE)) %>%
+  # to_waves(attribute = "year", cumulative = TRUE) %>%
+  # grapht()
 ```
 
 More functionality will be added to this function in future releases.
@@ -772,11 +772,11 @@
 
 ```{r plotexamples, exercise=TRUE, fig.width=9}
 stocnet_theme("default")
-plot(node_degree(fict_lotr)) + 
-plot(node_closeness(fict_lotr))
+plot(node_by_degree(fict_lotr)) + 
+plot(node_by_closeness(fict_lotr))
 stocnet_theme("oxf")
-plot(node_degree(fict_lotr)) + 
-plot(node_closeness(fict_lotr))
+plot(node_by_degree(fict_lotr)) + 
+plot(node_by_closeness(fict_lotr))
 ```
 
 This is a very simple example, but the same principle applies to