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z>c=FjOxJ@`e=KF$)H6fuft=>SeC&T(6^q6DJ~;|ug)J)CRM$7kAYe;0-HsFK)&&c# zV;0mBG5Lo8ssDmGx`{(L$se#?JuQ{10t#?HL|-o8BC!jGMS|HWJQ|2s1gYX8Lu tApXrAwEw9*ApVPECx^cE|7rTC^~TzE+zzX0{_$6WM*61P(tfq2{~yb(*hByT diff --git a/index.html b/index.html index 361ea55..e1a73df 100644 --- a/index.html +++ b/index.html @@ -1072,11 +1072,11 @@

Overall Data

Comparison of Institutions

Open status over time

-

+

Access type over time

-

+

Access type for most recent year

diff --git a/oa-dashboard.Rmd b/oa-dashboard.Rmd index 4701fed..2d8cecd 100644 --- a/oa-dashboard.Rmd +++ b/oa-dashboard.Rmd @@ -7,10 +7,12 @@ output: knit: (function(inputFile, encoding) { rmarkdown::render(inputFile, encoding = encoding, output_file = file.path(dirname(inputFile), 'index.html')) }) --- ```{r, echo=FALSE, message=FALSE, warning=FALSE} -knitr::opts_chunk$set(echo=FALSE) -knitr::opts_chunk$set(warning=FALSE) -knitr::opts_chunk$set(message=FALSE) -knitr::opts_chunk$set(fig.align="center") +knitr::opts_chunk$set( + echo=FALSE, + warning=FALSE, + message=FALSE, + fig.align="center" +) library(tidyverse) ``` @@ -60,8 +62,6 @@ overall_trend <- data_overall |> ) |> filter(open == "open") -overall_trend_title <- paste0("Open Access Publication Output, 2010-", prev_year) - ggplot(overall_trend, aes(x = year, y = pc)) + geom_line(data = overall_trend |> filter(country == "nz"), size = 1, aes(colour = "NZ")) + geom_line(data = overall_trend |> filter(country == "au"), size = 1, aes(colour = "AU")) + @@ -73,7 +73,7 @@ ggplot(overall_trend, aes(x = year, y = pc)) + ylab("%") + ylim(0, 80) + scale_x_continuous(n.breaks = prev_year-2010) + - ggtitle(overall_trend_title) + ggtitle(paste0("Open Access Publication Output, 2010-", prev_year)) ggsave("fig/1-overall-trend.png") @@ -82,9 +82,6 @@ ggsave("fig/1-overall-trend.png") data_overall$oa_type <- factor(data_overall$oa_type, levels = c("bronze","green", "hybrid", "gold", "closed")) -overall_types_title_nz <- (paste0("Access Status for New Zealand Research Publications, 2010-", prev_year)) -overall_types_title_au <- (paste0("Access Status for Australian Research Publications, 2010-", prev_year)) - ggplot(data_overall, aes(x = year, y = pc, fill = oa_type)) + geom_bar(data = data_overall |> filter(country == "nz"), position = "dodge", stat = "identity") + @@ -98,7 +95,7 @@ ggplot(data_overall, aes(x = year, y = pc, fill = oa_type)) + xlab("") + ylab("%") + scale_x_continuous(n.breaks = prev_year-2010) + - ggtitle(overall_types_title_nz) + ggtitle(paste0("Access Status for New Zealand Research Publications, 2010-", prev_year)) ggsave("fig/2-overall-types-nz.png") @@ -115,7 +112,7 @@ ggplot(data_overall, aes(x = year, y = pc, fill = oa_type)) + xlab("") + ylab("%") + scale_x_continuous(n.breaks = prev_year-2010) + - ggtitle(overall_types_title_au) + ggtitle(paste0("Access Status for Australian Research Publications, 2010-", prev_year)) ggsave("fig/2-overall-types-au.png") ``` @@ -134,8 +131,6 @@ data_institutions_sum <- data_institutions |> pc = sum(pc), ) -institution_title <- paste0("Open Access Publication Output for ", sort(unique(data_institutions$institution)), ", 2010-", prev_year) - plot_function_open <- function(data_institutions_sum) { p <- ggplot(data_institutions_sum, aes(x = year, y = pc, colour = open)) p <- p + geom_line(size = 1) + @@ -146,22 +141,17 @@ plot_function_open <- function(data_institutions_sum) { xlab("") + ylab("%") + ylim(0, 80) + - scale_x_continuous(n.breaks = prev_year-2010) + scale_x_continuous(n.breaks = prev_year-2010) + + ggtitle(paste0("Open Access Publication Output for ", + data_institutions_sum$institution[1], + ", 2010-", prev_year)) return(p) } plot_list <- data_institutions_sum |> group_by(institution) |> - group_split(institution) - -plot_list <- plot_list[order(sapply(plot_list, function(x) sort(unique(x$institution))))] - -plot_list <- plot_list |> -map(~ plot_function_open(.x)) - -plot_list <- lapply(seq_along(plot_list), function(i) { - plot_list[[i]] + ggtitle(institution_title[i]) -}) + group_split(institution) |> + map(~ plot_function_open(.x)) wrapped_plot <- patchwork::wrap_plots(plot_list, ncol = 1) @@ -179,8 +169,6 @@ wrapped_plot ### Access type over time ```{r, fig.dim = c(8, 60)} -institution_type_title <- paste0("Access Type Trend for ", sort(unique(data_institutions$institution)), ", 2010-", prev_year) - plot_function_type <- function(data_institutions) { p <- ggplot(data_institutions, aes(x = year, y = pc, colour = oa_type)) p <- p + geom_line(size = 1) + @@ -194,22 +182,17 @@ plot_function_type <- function(data_institutions) { xlab("") + ylab("%") + ylim(0, 80) + - scale_x_continuous(n.breaks = prev_year-2010) + scale_x_continuous(n.breaks = prev_year-2010) + + ggtitle(paste0("Access Type Trend for ", + data_institutions$institution[1], + ", 2010-", prev_year)) return(p) } plot_list_type <- data_institutions |> group_by(institution) |> - group_split() - -plot_list_type <- plot_list_type[order(sapply(plot_list_type, - function(x) sort(unique(x$institution))))] -plot_list_type <- plot_list_type |> -map(~ plot_function_type(.x)) - -plot_list_type <- lapply(seq_along(plot_list_type), function(i) { - plot_list_type[[i]] + ggtitle(institution_type_title[i]) -}) + group_split() |> + map(~ plot_function_type(.x)) wrapped_plot_type <- patchwork::wrap_plots(plot_list_type, ncol = 1) @@ -240,8 +223,6 @@ institutions_access$institution <- factor(institutions_access$institution, institutions_access$oa_type <- factor(institutions_access$oa_type, levels = c("bronze","green", "hybrid", "gold", "closed")) -institutions_access_title <- (paste0("Access Type by Institution, ", prev_year)) - ggplot(institutions_access, aes(x = institution, y = pc, fill = oa_type)) + geom_bar(position = "dodge", stat = "identity") + scale_fill_manual(name = "Access Type", @@ -254,7 +235,7 @@ ggplot(institutions_access, aes(x = institution, y = pc, fill = oa_type)) + theme_classic() + xlab("") + ylab("%") + - ggtitle(institutions_access_title) + ggtitle(paste0("Access Type by Institution, ", prev_year)) ggsave("fig/5-institutions-type-now.png")

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