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| fun_labels <- function(x) sprintf("<b>%s</b>", x) | |
| ggplot() + | |
| scale_x(breaks = c('a','b','c')) + | |
| theme(axis.label = element_sticker(grob = fancyGrob, dictionary = fun_labels)) | |
| my_labels <- tibble(label = letters[1:3], grobs = I(lapply(1:3, fancyGrob))) |
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| library(future) | |
| trim_model <- function(model, predictor = predict, ..., ignore_warnings = TRUE) { | |
| # Cache the correct output | |
| true_pred <- predictor(model, ...) | |
| # Treat prediction warnings as errors? | |
| if (!ignore_warnings) { | |
| old_ops <- options(warn = 2) | |
| on.exit(options(old_ops)) | |
| } |
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| library(ggplot2) | |
| library(dplyr) | |
| library(grid) | |
| library(gridExtra) | |
| add_centered_title <- function(p, text, font_size){ | |
| title.grob <- textGrob( | |
| label = text, | |
| gp = gpar(fontsize = font_size, |
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| library(tidyverse) | |
| (df <- tibble( | |
| x = c(1, NA, 3, NA), | |
| y = c(1, NA, NA, 4), | |
| z = 1:4 | |
| )) | |
| #> # A tibble: 4 × 3 | |
| #> x y z | |
| #> <dbl> <dbl> <int> | |
| #> 1 1 1 1 |
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| library(ggplot2) | |
| library(grid) | |
| d <- data.frame(x=rnorm(50), y=rnorm(50), f1 = rep(gl(5,5), 2), f2 = gl(2, 25)) | |
| p <- ggplot(d, aes(x,y, group=interaction(f1,f2))) + | |
| geom_line(aes(colour=f1, linetype=f2)) + | |
| geom_point(aes(colour=f1, shape=f1)) | |
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| ``` r | |
| `?` <- function(x, y) { | |
| y <- substitute(y) | |
| if (!is.call(y) || !identical(as.symbol(":"), y[[1]])) stop("Invalid", call. = FALSE) | |
| eval(call("if", x, y[[2]], y[[3]])) | |
| } | |
| T ? 1 | |
| #> Error: Invalid |
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| # requires Megrim font: https://fonts.google.com/specimen/Megrim | |
| if(FALSE) { | |
| install.packages("extrafont") | |
| extrafont::loadfonts() | |
| } | |
| library(ggplot2) | |
| ggplot() + | |
| scale_x_continuous(expand = c(0,0)) + |
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| library(tidyverse) | |
| library(igraph) | |
| library(ggraph) | |
| library(gganimate) | |
| library(ggforce) | |
| #File at https://dl.dropbox.com/s/hxmsut19lelgw33/epinetwork.rds | |
| episim <- readRDS("epinetwork.rds") # Saved is the simulation data and an adjacency matrix for the network | |
| # Create an undirected graph from this matrix | |
| ign <- graph_from_adjacency_matrix(episim$network > 0, "undirected") |