does Ba/ymax even need all of this
January 2, 2025 at 6:26 AM
does Ba/ymax even need all of this
ymin=92, ymax=94. Seems solid.
July 6, 2026 at 5:11 PM
ymin=92, ymax=94. Seems solid.
Just found this intriguing new function by Wadea Abu Dahoud for making a log-scale axis squiggly, mostly to act as a visual cue/speed bump that the axis isn't linear. github.com/wade31985-ar... #rstats #dataviz
June 9, 2026 at 2:46 PM
Just found this intriguing new function by Wadea Abu Dahoud for making a log-scale axis squiggly, mostly to act as a visual cue/speed bump that the axis isn't linear. github.com/wade31985-ar... #rstats #dataviz
July 7, 2026 at 9:00 PM
YieldMax UPDATE | How they're doing | YMAG vs. YMAX
youtu.be/lYPznqLBuN4
youtu.be/lYPznqLBuN4
YieldMax UPDATE | How they're doing | YMAG vs. YMAX
YouTube video by The Dividend Dream
youtu.be
February 7, 2025 at 9:29 PM
YieldMax UPDATE | How they're doing | YMAG vs. YMAX
youtu.be/lYPznqLBuN4
youtu.be/lYPznqLBuN4
Just discovered ggmagnify hughjonesd.github.io/ggmagnify/re.... love it! But quite probable that I will overuse slightly creating figures for my next talk. You have been warned.
Create a magnified inset of a plot — geom_magnify
geom_magnify() creates a magnified inset of part of a ggplot. Optional borders are drawn around the target and inset, along with projection lines from one to the other. from gives the location of the target area, and to gives the location of the inset. Usually, these are specified as c(xmin, xmax, ymin, ymax).
hughjonesd.github.io
April 11, 2026 at 2:12 PM
Just discovered ggmagnify hughjonesd.github.io/ggmagnify/re.... love it! But quite probable that I will overuse slightly creating figures for my next talk. You have been warned.
For some reason I'm seeing see a bunch of Colombian maps today, so here is my contribution.
June 1, 2026 at 10:01 PM
For some reason I'm seeing see a bunch of Colombian maps today, so here is my contribution.
This #Pascal-based software helped to develop a potentially revolutionary new method for early diagnosis of diabetes. And the paper comes with source code in #ObjectPascal.
pubmed.ncbi.nlm.nih.gov/38169110/
pubmed.ncbi.nlm.nih.gov/38169110/
![Excerpt of the source code:
type
tTwoWaySensTable = array of array of TState;
function TwoWayTable(const xmin, xmax, ymin, ymax, resolutionx, resolutiony: real;
const StrucPars: tParameterSpace; modX, modY: TParameter): tTwoWaySensTable;
implementation
function TwoWayTable(const xmin, xmax, ymin, ymax, resolutionx, resolutiony: real;
const StrucPars: tParameterSpace; modX, modY: TParameter): tTwoWaySensTable;
var
i, j, k: integer;
maxi, maxj: integer;
params: tParameterSpace;
prediction: TPrediction;
begin
params := StrucPars;
prediction := PredictedEquilibrium(P0, 0, Z0, params);
if prediction[0].G > 0 then
k := 0
else
K := 1;](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:wqngadu4ocinxztahi2kakdg/bafkreibjh64dkzirliawb4mvpsllyihn73j4d7oupj3ydvp3rhsfm7gf3q)
January 4, 2024 at 5:49 PM
This #Pascal-based software helped to develop a potentially revolutionary new method for early diagnosis of diabetes. And the paper comes with source code in #ObjectPascal.
pubmed.ncbi.nlm.nih.gov/38169110/
pubmed.ncbi.nlm.nih.gov/38169110/
It is really dark, but better to avoid breathing outdoor air. the air is very dangerous gispub.epa.gov/airnow/?show... &ymax=6388485
AirNow Interactive Map
gispub.epa.gov
July 15, 2026 at 4:57 PM
It is really dark, but better to avoid breathing outdoor air. the air is very dangerous gispub.epa.gov/airnow/?show... &ymax=6388485
Okay, I'm starting the year with about $2k in $YMAX, which pays out weekly dividends that will be reinvested back into itself.
Let's see how we do.
Let's see how we do.
January 5, 2026 at 12:05 PM
Okay, I'm starting the year with about $2k in $YMAX, which pays out weekly dividends that will be reinvested back into itself.
Let's see how we do.
Let's see how we do.
🇺🇦 #FoaHoka
Foa Hoka - Sensorika.
Live performance at Panda Platforma/ Berlin
www.youtube.com/watch?v=YMaX...
Foa Hoka - Sensorika.
Live performance at Panda Platforma/ Berlin
www.youtube.com/watch?v=YMaX...
Foa Hoka - Sensorika. Live performance at Panda Platforma/ Berlin
YouTube video by FoaHokaOfficial
www.youtube.com
September 18, 2025 at 9:08 AM
🇺🇦 #FoaHoka
Foa Hoka - Sensorika.
Live performance at Panda Platforma/ Berlin
www.youtube.com/watch?v=YMaX...
Foa Hoka - Sensorika.
Live performance at Panda Platforma/ Berlin
www.youtube.com/watch?v=YMaX...
November 27, 2024 at 12:01 PM
4. Better NSE support means less typing for plots with x/ymin and x/ymax values, e.g. coefficient plots.
(We plan to expand this smart NSE passing to equivalent arguments like weights and subset in a future release.)
(We plan to expand this smart NSE passing to equivalent arguments like weights and subset in a future release.)
June 3, 2025 at 8:47 PM
4. Better NSE support means less typing for plots with x/ymin and x/ymax values, e.g. coefficient plots.
(We plan to expand this smart NSE passing to equivalent arguments like weights and subset in a future release.)
(We plan to expand this smart NSE passing to equivalent arguments like weights and subset in a future release.)
anyone wanna go get noodles at wagaama when watching the ymax at printworks
May 19, 2026 at 7:37 PM
anyone wanna go get noodles at wagaama when watching the ymax at printworks
Bounding box:
xmin: 31722.5 xmax: 333786.5
ymin: 24939.27 ymax: 458055.3
xmin: 31722.5 xmax: 333786.5
ymin: 24939.27 ymax: 458055.3
March 3, 2026 at 6:13 PM
Bounding box:
xmin: 31722.5 xmax: 333786.5
ymin: 24939.27 ymax: 458055.3
xmin: 31722.5 xmax: 333786.5
ymin: 24939.27 ymax: 458055.3
It looked a little like this, but I might not have it quite right: Procedure ScreenCopy(XminOfPrint,YminOfPrint,ResolutionOfPrint:integer);
const Weighte: array[0..7] of byte=(1,2,4,8,16,32,64,128);
var Xmax,Ymax,x,y:integer;
NumberOfBytes,
ResolutionOfPrintL,
const Weighte: array[0..7] of byte=(1,2,4,8,16,32,64,128);
var Xmax,Ymax,x,y:integer;
NumberOfBytes,
ResolutionOfPrintL,
December 21, 2025 at 5:04 AM
It looked a little like this, but I might not have it quite right: Procedure ScreenCopy(XminOfPrint,YminOfPrint,ResolutionOfPrint:integer);
const Weighte: array[0..7] of byte=(1,2,4,8,16,32,64,128);
var Xmax,Ymax,x,y:integer;
NumberOfBytes,
ResolutionOfPrintL,
const Weighte: array[0..7] of byte=(1,2,4,8,16,32,64,128);
var Xmax,Ymax,x,y:integer;
NumberOfBytes,
ResolutionOfPrintL,
For errorbars, there is no `add_custom_errorbar()` function yet.
But you can do it like this:
But you can do it like this:
June 22, 2026 at 3:13 PM
For errorbars, there is no `add_custom_errorbar()` function yet.
But you can do it like this:
But you can do it like this:
The Good Phight did an article digging into what's going on with Aaron Nola but this is still shocking to see
www.thegoodphight.com/phillies-ana...
www.thegoodphight.com/phillies-ana...
August 31, 2026 at 4:19 PM
The Good Phight did an article digging into what's going on with Aaron Nola but this is still shocking to see
www.thegoodphight.com/phillies-ana...
www.thegoodphight.com/phillies-ana...
You ever thought about YOLOing it on YMAX?
March 25, 2025 at 3:56 PM
You ever thought about YOLOing it on YMAX?
![use anyhow::bail;
use arrow_extendr::FromArrowRobj;
use extendr_api::prelude::*;
use geo_traits::{CoordTrait, PointTrait};
use geoarrow::array::{GeoArrowArrayAccessor, PointArray};
#[extendr]
fn geoarrow_centroid(x: Robj) -> anyhow::Result<Doubles> {
let res = PointArray::from_arrow_robj(&x)?;
let (sum_x, sum_y, n) = res.iter_values().filter_map(|xi| xi.ok()).fold(
(0.0_f64, 0.0_f64, 0usize),
|(sx, sy, n), v| {
let (x, y) = v.coord().unwrap().x_y();
(sx + x, sy + y, n + 1)
},
);
if n == 0 {
bail!("cannot compute centroid of empty array");
}
let res = [sum_x / n as f64, sum_y / n as f64]
.map(Rfloat::from)
.into_iter()
.collect::<Doubles>();
Ok(res)
}](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:63atwz67mlrdquqnasarutmr/bafkreifvhwk7acara7a64jwglprbjgszw5vd7dmfox55qpyhhe4c5i3sry)
![library(wk)
library(geoarrow)
devtools::load_all()
#> ℹ Loading extendrtest
pnts <- wk::xy(rnorm(100, -180, 180), runif(100, -90, 90))
x <- geoarrow::as_geoarrow_array(pnts)
geoarrow_centroid(x)
#> [1] -182.711392 -2.806439
sf::st_as_sfc(pnts) |>
sf::st_combine() |>
sf::st_centroid()
#> Geometry set for 1 feature
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: -182.7114 ymin: -2.806439 xmax: -182.7114 ymax: -2.806439
#> CRS: NA
#> POINT (-182.7114 -2.806439)](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:63atwz67mlrdquqnasarutmr/bafkreifb7wrdfujkxs356k5dj6peukdmtj2hekllcpbheckr4uhihc4r5a)
December 4, 2024 at 12:23 PM
ggplot(tidy_results, aes(x = term, y = estimate)) +
geom_point(size = 3) +
geom_errorbar(aes(ymin = estimate - std.error, ymax = estimate + std.error), width = 0.2) +
coord_flip() +
labs(
title = "Title",
x = "Predictors",
y = "Estimate"
)
geom_point(size = 3) +
geom_errorbar(aes(ymin = estimate - std.error, ymax = estimate + std.error), width = 0.2) +
coord_flip() +
labs(
title = "Title",
x = "Predictors",
y = "Estimate"
)
November 30, 2024 at 8:34 AM
ggplot(tidy_results, aes(x = term, y = estimate)) +
geom_point(size = 3) +
geom_errorbar(aes(ymin = estimate - std.error, ymax = estimate + std.error), width = 0.2) +
coord_flip() +
labs(
title = "Title",
x = "Predictors",
y = "Estimate"
)
geom_point(size = 3) +
geom_errorbar(aes(ymin = estimate - std.error, ymax = estimate + std.error), width = 0.2) +
coord_flip() +
labs(
title = "Title",
x = "Predictors",
y = "Estimate"
)
YieldMax UPDATE | How they're doing | YMAG vs. YMAX
YouTube video by The Dividend Dream
youtu.be
November 17, 2024 at 1:54 PM