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#rstats easier to compare the ratios

It had been gradually declining by about 5 million before the war, then dropped by another 5 million between 2022 and 2025.

Tuzla Municipality: Stop at the Crosswalk, Stop the Accidents • Ads of the World™ | Part of The Clio Network What if a pedestrian crossing could tell the story of every accident that happened on it? In Tuzla, Istanbul, the stripes of a crosswalk were transformed into a living accident chart. Each line visua...

Looks like it is real - www.adsoftheworld.com/campaigns/st...

I understand the awareness function, but I'd rather see humped crossings or traffic calming measures before the crossings. The issue isn't visibility, it's the driving culture of ignoring them that needs to change.

one day I will never master these

"Hence, in the R Core meetings in Toulouse in 2019, it was decided to move towards using stringsAsFactors = FALSE by default, ideally starting with the 4.0.0 release."

Blame these guys 🤪

blog.r-project.org/2020/02/16/s...

Screenshot of the answer at: https://unix.stackexchange.com/a/153662/16560

Ah, thought it was a hidden joke from devs, but it isn't

unix.stackexchange.com/a/153662/16560

I use Google as calculator, too. But recently discovered that the iPhone Notes app does the same:

Create a data.table row-wise Aliases: rowwiseDT Keywords: ### ** Examples rowwiseDT( A=,B=, C=, 1, "a",2:3, 2, "b",list(5) ) A B C <num> <char> <list> 1: 1 a 2,3 2: 2 b 5

You can define a tibble row-by-row with tribble(): tribble( ~x, ~y, ~z, "a", 2, 3.6, "b", 1, 8.5 ) #> # A tibble: 2 × 3 #> x y z #> <chr> <dbl> <dbl> #> 1 a 2 3.6 #> 2 b 1 8.5

#rstats #TIL I knew about tibble::tribble, but just discovered data.table::rowwiseDT.

"creates a data.table object by specifying a row-by-row layout. This is convenient and highly readable for small tables."

ggfun: Miscellaneous Functions for 'ggplot2' Useful functions and utilities for 'ggplot' object (e.g., geometric layers, themes, and utilities to edit the object).

It’s from ggfun: cran.r-project.org/package=ggfun

ggfun: Miscellaneous Functions for 'ggplot2' Useful functions and utilities for 'ggplot' object (e.g., geometric layers, themes, and utilities to edit the object).

Looks like it is from ggfun package. Thanks for looking into this.

cran.r-project.org/package=ggfun

update: Searching GitHub R repos gives 1.5K hits. Looking at couple of pages, it looks like it is from ggfun - cran.r-project.org/web/packages...

Yes, checked the magrittr, too, nothing.

I'm afraid there’s no context, it comes from another user in a private group chat. I've asked for clarification and will provide an update once they respond with more info.

#rstats pipe help, where is this from? I am guessing it is "modify and re-assign".

%<+%

Google didn't help, Gemini says it is invalid R code or it is a regex. ChatGPT says it is from ggplot, searching GitHub didn't help. But found this function ggplot2::`%+replace%`(), are they related?

They like to keep us floored.

ggpairs for first 4 PCs would be interesting to see.

# for loop f <- function(x, y){ out <- vector("integer", length(x)) yy <- y for(i in seq_along(x)) { mm <- match(x[ i ], yy) out[ i ] <- mm yy[ mm ] <- NA } out } # recursive version fr <- function(x, y, out = integer(length(x)), i = 1) { if (i > length(x)) return(out) mm <- match(x[ i ], y) out[ i ] <- mm if (!is.na(mm)) y[ mm ] <- NA fr(x, y, out, i + 1) } f(c("a", "b", "a"), c("a", "b", "c", "a")) # [1] 1 2 4 fr(c("a", "b", "a"), c("a", "b", "c", "a")) # [1] 1 2 4

Smells like recursive.

Challenge: check if you wish but do no reply to any work emails.

paletteer_c("grDevices::Earth", 30) https://r-charts.com/color-palettes/

I think they are called Earthy colours

Image source: https://blogs.sas.com/content/sastraining/2019/01/24/re-creating-a-hans-rosling-graph-animation-with-sas/ Hans Rosling bubble chart presentation TED Talks: The best stats you've ever seen | Hans Rosling https://www.youtube.com/watch?v=hVimVzgtD6w

library(dplyr) df1 |> mutate(mycol1 = "too") |> mutate(mycol2 = "much") |> mutate(mycol3 = "typing") df1 |> mutate(mycol1 = "this", mycol2 = "is", mycol3 = "less")

Similarly, long long time ago, I realised mutate can be called just once 🤦‍♂️

As base::rbind also takes more than two dataframes as input, I expected at least the same from dplyr::bind_rows. And bind_rows handles rownames, factor levels, and mismatched column names better. #rstats

> usedRegexN == hadToReLearnRegexN [1] TRUE

Just don't print them, you will most definitely never read those.

We have to stop making babies and stop the muggers, too.

GitHub - kingfish777/kitchenSink: integrating join prior from bioinformatics data with posteriors from observational data (EHR) to build DAGs/bayesian networks/models of mechanistic causality integrating join prior from bioinformatics data with posteriors from observational data (EHR) to build DAGs/bayesian networks/models of mechanistic causality - kingfish777/kitchenSink

Yeah, I was googling...

github.com/kingfish777/...

Shattered Britain This report - drawing on polling of over 20,000 people and dozens of focus groups around the country explores what is driving this sense of malaise, and how Britons see the path out of it. It explores...

For those searching for high-res version, the plot is from Executive Summary PDF file.

www.moreincommon.org.uk/our-work/res...

1KGP super-population assignment. The first three PCs plotted for each of the 5 1KGP super-populations with Mahalanobis distance outliers marked in black. Figure 1b from https://pmc.ncbi.nlm.nih.gov/articles/PMC5646819/

In genetics we use Mahalanobis to assign/guess the population, e.g.:

pmc.ncbi.nlm.nih.gov/articles/PMC...