From 730fe602150c0a33ccd0656843c952f42d552572 Mon Sep 17 00:00:00 2001 From: athowes Date: Fri, 17 May 2024 12:25:54 +0100 Subject: [PATCH] Fix lint issues --- vignettes/epidist.Rmd | 19 +++++++++++++++---- 1 file changed, 15 insertions(+), 4 deletions(-) diff --git a/vignettes/epidist.Rmd b/vignettes/epidist.Rmd index ec61ce406..c7bee7c33 100644 --- a/vignettes/epidist.Rmd +++ b/vignettes/epidist.Rmd @@ -89,9 +89,16 @@ secondary_dist <- data.table(meanlog = 1.8, sdlog = 0.5) |> ```{r lognormal, fig.cap="(ref:lognormal)"} ggplot(data.frame(x = c(0, 8)), aes(x = x)) + - geom_function(fun = dlnorm, meanlog = secondary_dist[["meanlog"]], sdlog = secondary_dist[["sdlog"]]) + + geom_function( + fun = dlnorm, + meanlog = secondary_dist[["meanlog"]], + sdlog = secondary_dist[["sdlog"]] + ) + theme_minimal() + - labs(x = "Delay between primary and secondary event (days)", y = "Probability density") + labs( + x = "Delay between primary and secondary event (days)", + y = "Probability density" + ) ``` ```{r} @@ -107,7 +114,10 @@ obs <- outbreak |> ```{r delay, fig.cap="(ref:delay)"} obs[case %% 50 == 0, ] |> ggplot(aes(y = case)) + - geom_segment(aes(x = ptime, xend = stime, y = case, yend = case), col = "grey") + + geom_segment( + aes(x = ptime, xend = stime, y = case, yend = case), + col = "grey" + ) + geom_point(aes(x = ptime), col = "#56B4E9") + geom_point(aes(x = stime), col = "#009E73") + labs(x = "Event time (day)", y = "Case number") + @@ -164,7 +174,8 @@ sample_size <- 200 This sample size corresponds to `r 100 * round(sample_size / nrow(obs_cens_trunc), 3)`% of the data. ```{r} -obs_cens_trunc_samp <- obs_cens_trunc[sample(1:.N, sample_size, replace = FALSE)] +obs_cens_trunc_samp <- + obs_cens_trunc[sample(seq_len(.N), sample_size, replace = FALSE)] ``` With our censored, truncated, and sampled data, we are now ready to attempt to recover the underlying delay distribution using `epidist`.