A bookmarklet to copy the document title and page URL to the clipboard. If you select/highlight text on the web page, the text is appended to the beginning of the text.
Full version:
javascript: (
function () {
let selection = "";| # Create data. | |
| set.seed(1341) | |
| original <- data.frame(x = rnorm(10), y = rnorm(10)) | |
| change <- original | |
| change[5, 1] <- 6 | |
| change[7, 2] <- 4 | |
| # Function to compare data frames for similarity. | |
| compare_data_frames <- function(df1, df2) { | |
| if (identical(df1, df2)) { |
| # Convert a 95% confidence interval to a p-value (two-sided). | |
| # Based on: | |
| # How to obtain the P value from a confidence interval | |
| # BMJ 2011; 343 doi: https://doi.org/10.1136/bmj.d2304 | |
| # From estimate to p-value. | |
| estimate.to.pvalue <- function(estimate, lower, upper) { | |
| stderror = (upper - lower) / (2 * 1.96) # Get standard error. | |
| z = estimate / stderror # Get test statistic. | |
| p.value = exp(-0.717 * z - 0.416 * (z ^ 2)) # Get p-value. |
| cd \ | |
| Get-ChildItem . -Attributes Directory+Hidden -ErrorAction SilentlyContinue -Filter ".git" -Recurse |
| \usepackage{color,soul} | |
| And this is where we \hl{highlight the text} to make it stand out. |
| library(ggdag) | |
| gin_dag <- dagify(happy ~ gin_tonic, | |
| brain_size ~ happy, | |
| gin_tonic ~ brain_size, | |
| labels = c("brain_size" = "Hjärnstorlek", | |
| "gin_tonic" = "Gin & Tonic", | |
| "happy" = "Glad"), | |
| exposure = "gin_tonic", | |
| outcome = "brain_size") %>% |
| `+` <- function(x, y) { | |
| val <- sum(x, y) | |
| if (val > 1000000000) { | |
| paste0("Don't push it") | |
| } else if (val > 100000) { | |
| paste0("So you like big numbers, huh? Well, I give you a big number. How about ", val ,"? Is that good enough for you?") | |
| } else { | |
| paste0("That's a fucking ", val) | |
| } | |
| } |
| ffmpeg -i "https://example.net/playlist.m3u8" -acodec copy -vcodec copy -absf aac_adtstoasc "output-video.mp4" |
| git ls-files | grep -P ".*(js|css|html|aspx|ascx|vb)" | xargs cat | wc -l |
| # Downloaded from http://www.jjcoutts.com/medyad | |
| # Coutts, J., Hayes, A. F., & Jiang, T. (2019). Easy statistical mediation analysis with distinguishable dyadic data. Journal of Communication | |
| # https://doi.org/10.1093/joc/jqz034 | |
| # ----------------------------------------------------------------- | |
| #MEDYAD for SAS beta version 1.1; | |
| #current as of 18 December 2019; | |
| #Copyright 2019 by Jacob J. Coutts and Andrew F. Hayes; |