#Rcode
LightNews LightNews
rootwyrm.com
Breaking from me via Masto friends:

elections.gov has been intentionally taken fully offline. There are no longer any DNS records, and CloudFlare is intermittently responding to queries with RCODE REFUSED instead of NXRECORD.
elections.gov
November 4, 2025 at 8:04 PM
jtk.infosec.exchange.ap.brid.gy
Other than the bogus name, there are two things wrong with this response. First, the rd flag was set in the response. The rd flag should echo what the client set, which it clearly does not. Second, is the NOERROR status (aka RCODE) with a single authority section RR, which is unexpected in this […]
Original post on infosec.exchange
infosec.exchange
October 30, 2025 at 8:46 PM
alexandredsc.bsky.social
Q.-rcode. #startrek
Embalagem de Star Trek com personagens Q. ao lado do qrcode.
September 7, 2025 at 10:28 PM
schwarzewald.kodow.net.ap.brid.gy
メラトニン今度はナトロールじゃないやつ買ってみたんだけど昨日はこれ飲んでからだいぶ眠くなった気がする。気のせいかもしれん。
jp.iherb.com/pr/life-extension-melatonin-1-mg-60-capsules/4385?rcode=KLI2996
September 1, 2025 at 4:23 PM
nicoleruta.bsky.social
✨ Does our body resonate differently when an everyday object is reframed by an artist as ready-made art?
Full story & #OpenScience #Rcode are available in our latest publication Ruta, Schino, Wolfe & Iosifyan (2025) Scientific Reports ➡️ www.nature.com/articles/s41...
Ready-made bodily sensations - Scientific Reports
Embodiment plays an important role in art engagement, yet it is unclear how expectations shape bodily sensations, especially when interacting with ready-made art. In this study, we investigated how ex...
www.nature.com
August 25, 2025 at 2:10 PM
danielborek.bsky.social
TIL Adding a comment in #Rcode or #rmarkdown header in #R script that includes at least four trailing dashes (-), equal signs (=), or hashes (#) automatically creates a foldable code section visible in the outline In #RStudio.

# My Title ----
## Another Section =====
### A Third Section #####
August 24, 2025 at 2:44 PM
hectorg41001233.bsky.social
www.iherb.com?rcode=MXX4376
iHerb | Vitamins, Supplements, Natural Health Products
50,000+ top-rated health and wellness products from trusted brands. Get the best value with weekly deals, fast, affordable shipping, and customer rewards.
www.iherb.com
August 21, 2025 at 1:52 AM
genericsoda.bsky.social
WeebCup #211 has been defeated! Here are your top 8:

WeebCup runs Tuesday evenings from Sajam's discord. Tekken 8 is currently on pause, but we run SF6 on Sunday so if you want to play, come through!
Conraderino playing Nagoriyuki (Nova Scotia) Factcatteddy playing Slayer (Minnesota) bt playing I-No (Transgender) KOI|Sen playing Johnny (Transgender) HoboNinja playing Potemkin (Chicago) UnbreakableDoof playing Axl Low RCode playing Nagoriyuki GER|Reyna playing Unika
August 20, 2025 at 3:02 AM
erdilay.bsky.social
www.iherb.com?rcode=CHI9866
iHerb | Vitamins, Supplements, Natural Health Products
50,000+ top-rated health and wellness products from trusted brands. Get the best value with weekly deals, fast, affordable shipping, and customer rewards.
www.iherb.com
August 14, 2025 at 11:58 AM
beautygeeky.bsky.social
めっさ久しぶりに #iherb でHimalayaのシャンプーを購入𓂃
www.iherb.com?rcode=AZI1760
覗いてみてね。紹介コード：AZI1760 です
本当、このインドのベビーシャンプーが一番良い｡｡｡
iHerb | Vitamins, Supplements, Natural Health Products
50,000+ top-rated health and wellness products from trusted brands. Get the best value with weekly deals, fast, affordable shipping, and customer rewards.
www.iherb.com
August 13, 2025 at 4:03 AM
layer8.bsky.social
1/ what type of RCODE is sent as a result of non support? NXDOMAIN is the only which won't create a client retry, but that's potentially not sufficient. It may be better to allow for retry and cache for NS records w/ a TTL.
July 21, 2025 at 8:57 AM
spsanderson.com
Just added random_geometric_walk() to the #dev version of my #R #package #RandomWalker

You can install it from #GitHub

#R #RStats #RCode #RProgramming #Random #Geometric #ggplot2 #tidydata
Just added random_geometric_walk() to the #dev version of my #R #package #RandomWalker You can install it from #GitHub #R #RStats #RCode #RProgramming #Random #Geometric #ggplot2 #tidydata Just added random_geometric_walk() to the #dev version of my #R #package #RandomWalker You can install it from #GitHub #R #RStats #RCode #RProgramming #Random #Geometric #ggplot2 #tidydata Just added random_geometric_walk() to the #dev version of my #R #package #RandomWalker You can install it from #GitHub #R #RStats #RCode #RProgramming #Random #Geometric #ggplot2 #tidydata
July 19, 2025 at 1:37 PM
yukichan1102.bsky.social
✨《永恆輪迴 x 魔儲》S8 賽季開跑啦～！🎲
新賽季新氣象，小雪最期待的活動也同步登場囉 💖

現在只要到【魔儲賣場】登入帳號、消費或應援，就能開骰子拿獎勵～🎁
✨骰一骰就有機會抽中超可愛的週邊＋免費 NP！

🎖而且前三名的應援榜還有特別豪華大禮，太心動了吧！

不只這樣～還有實況主們陪你一起玩
📺看直播還能拿禮包碼，小雪也會開台跟大家一起玩喔！

趕快一起參加～錯過就要等下次囉～❣️

#MEPay魔儲 #魔競娛樂 #官方儲值
#永恆輪迴 #EternalReturn #S8賽季 #小雪推薦中

快點擊下方連結註冊拿好禮
www.mepay.com.tw/auth?rcode=y...
July 18, 2025 at 8:15 AM
spsanderson.com
Another #Random #Stochastic #Walk added to my #R #Package #RandomWalker dev version, this time it is random_multinomial_walk() As of now you can only generate a single trial but I'll work on it in the future, for now, let's just get it and move down the list.

#RStats #Code #tidydata #ggplot2
Another #Random #Stochastic #Walk added to my #R #Package #RandomWalker dev version, this time it is random_multinomial_walk(). As of now you can only generate a single trial but I'll work on it in the future, for now, let's just gt it into dev and move down the list. #RCode #RStats #RProgramming #Code #tidydata #ggplot2 Another #Random #Stochastic #Walk added to my #R #Package #RandomWalker dev version, this time it is random_multinomial_walk(). As of now you can only generate a single trial but I'll work on it in the future, for now, let's just gt it into dev and move down the list. #RCode #RStats #RProgramming #Code #tidydata #ggplot2 Another #Random #Stochastic #Walk added to my #R #Package #RandomWalker dev version, this time it is random_multinomial_walk(). As of now you can only generate a single trial but I'll work on it in the future, for now, let's just gt it into dev and move down the list. #RCode #RStats #RProgramming #Code #tidydata #ggplot2 Another #Random #Stochastic #Walk added to my #R #Package #RandomWalker dev version, this time it is random_multinomial_walk(). As of now you can only generate a single trial but I'll work on it in the future, for now, let's just gt it into dev and move down the list. #RCode #RStats #RProgramming #Code #tidydata #ggplot2
July 17, 2025 at 12:24 PM
spsanderson.com
Another new #RandomWalk function for my #R #Package #RandomWalker this time for a #Discrete #Distribution of the Negative Binomial. This is in Dev.

#RandomWalk #Random #R #Rcode #RProgramming #ggplot2 #tidydata
Another new #RandomWalk function for my #R #Package #RandomWalker this time for a #Discrete #Distribution of the Negative Binomial. #RandomWalk #Random #R #Rcode #RProgramming #ggplot2 #tidydata Another new #RandomWalk function for my #R #Package #RandomWalker this time for a #Discrete #Distribution of the Negative Binomial. #RandomWalk #Random #R #Rcode #RProgramming #ggplot2 #tidydata Another new #RandomWalk function for my #R #Package #RandomWalker this time for a #Discrete #Distribution of the Negative Binomial. #RandomWalk #Random #R #Rcode #RProgramming #ggplot2 #tidydata Another new #RandomWalk function for my #R #Package #RandomWalker this time for a #Discrete #Distribution of the Negative Binomial. #RandomWalk #Random #R #Rcode #RProgramming #ggplot2 #tidydata
July 16, 2025 at 5:47 PM
spsanderson.com
I did another post on use with() and within() from Base R, simply because it bears repeating. I don't think it gets enough eyeballs.

Post: www.spsanderson.com/steveondata/...

#R #RStats #BaseR #RProgramming #Programming #RCode #Code
I did another post on use with() and within() from Base R, simply because it bears repeating. I don't think it gets enough eyeballs. Post: https://www.spsanderson.com/steveondata/posts/2025-07-14/index.html #R #RStats #BaseR #RProgramming #Programming #RCode #Code
July 14, 2025 at 4:35 PM
spsanderson.com
Just added random_smirnov_walk() to the #dev version of my #R #package #RandomWalker

#RStats #RCode #RProgramming #Random #ggplot2
library(RandomWalker) library(ggplot2) library(dplyr) set.seed(123) unsampled_dat <- random_smirnov_walk( .dimensions = 2, .num_walks = 1, .samp = FALSE, .z = seq(1, 2, by = .2), .sizes = c(2, 1) ) set.seed(123) sampled_dat <- random_smirnov_walk( .dimensions = 2, .num_walks = 1, .samp = TRUE, .z = seq(1, 2, by = .2), .sizes = c(2, 1) ) # row_bind data and mutate a column called samp_ind that is set to sampled for # sampled data and unsampled for unsampled data dat <- unsampled_dat |> mutate(samp_ind = "unsampled") |> rbind( sampled_dat |> mutate(samp_ind = "sampled") ) dat |> ggplot(aes(x = x, y = y)) + facet_wrap(~ samp_ind, scales = "free") + geom_path(aes(color = step_number)) + geom_point(data = dat |> group_by(samp_ind) |> filter( step_number == min(step_number) | step_number == max(step_number) ), aes(color = step_number), size = 3) + scale_color_viridis_c(option = "plasma") + labs(title = "2D Random Smirnov Walk", x = "X Position", y = "Y Position") + theme_minimal() + theme(legend.position = "none") + theme( axis.text.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.ticks.x = element_blank() ) random_smirnov_walk( .dimensions = 1, .num_walks = 1, .samp = FALSE, .z = seq(1, 2, by = .2), .sizes = c(2, 1)) |> visualize_walks() library(RandomWalker) library(ggplot2) library(dplyr) set.seed(123) unsampled_dat <- random_smirnov_walk( .dimensions = 2, .num_walks = 1, .samp = FALSE, .z = seq(1, 2, by = .2), .sizes = c(2, 1) ) set.seed(123) sampled_dat <- random_smirnov_walk( .dimensions = 2, .num_walks = 1, .samp = TRUE, .z = seq(1, 2, by = .2), .sizes = c(2, 1) ) # row_bind data and mutate a column called samp_ind that is set to sampled for # sampled data and unsampled for unsampled data dat <- unsampled_dat |> mutate(samp_ind = "unsampled") |> rbind( sampled_dat |> mutate(samp_ind = "sampled") ) dat |> ggplot(aes(x = x, y = y)) + facet_wrap(~ samp_ind, scales = "free") + geom_path(aes(color = step_number)) + geom_point(data = dat |> group_by(samp_ind) |> filter( step_number == min(step_number) | step_number == max(step_number) ), aes(color = step_number), size = 3) + scale_color_viridis_c(option = "plasma") + labs(title = "2D Random Smirnov Walk", x = "X Position", y = "Y Position") + theme_minimal() + theme(legend.position = "none") + theme( axis.text.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.ticks.x = element_blank() ) random_smirnov_walk( .dimensions = 1, .num_walks = 1, .samp = FALSE, .z = seq(1, 2, by = .2), .sizes = c(2, 1)) |> visualize_walks() library(RandomWalker) library(ggplot2) library(dplyr) set.seed(123) unsampled_dat <- random_smirnov_walk( .dimensions = 2, .num_walks = 1, .samp = FALSE, .z = seq(1, 2, by = .2), .sizes = c(2, 1) ) set.seed(123) sampled_dat <- random_smirnov_walk( .dimensions = 2, .num_walks = 1, .samp = TRUE, .z = seq(1, 2, by = .2), .sizes = c(2, 1) ) # row_bind data and mutate a column called samp_ind that is set to sampled for # sampled data and unsampled for unsampled data dat <- unsampled_dat |> mutate(samp_ind = "unsampled") |> rbind( sampled_dat |> mutate(samp_ind = "sampled") ) dat |> ggplot(aes(x = x, y = y)) + facet_wrap(~ samp_ind, scales = "free") + geom_path(aes(color = step_number)) + geom_point(data = dat |> group_by(samp_ind) |> filter( step_number == min(step_number) | step_number == max(step_number) ), aes(color = step_number), size = 3) + scale_color_viridis_c(option = "plasma") + labs(title = "2D Random Smirnov Walk", x = "X Position", y = "Y Position") + theme_minimal() + theme(legend.position = "none") + theme( axis.text.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.ticks.x = element_blank() ) random_smirnov_walk( .dimensions = 1, .num_walks = 1, .samp = FALSE, .z = seq(1, 2, by = .2), .sizes = c(2, 1)) |> visualize_walks()
July 12, 2025 at 3:02 PM
spsanderson.com
Now I have added the t-distribution as well.

#R #RStats #RProgramming #RandomWaker #RCode #ggplot2 #tidydata
library(RandomWalker) library(ggplot2) library(dplyr) set.seed(123) unsampled_dat <- random_t_walk( .dimensions = 2, .num_walks = 1, .samp = FALSE ) set.seed(123) sampled_dat <- random_t_walk( .dimensions = 2, .num_walks = 1, .samp = TRUE ) # row_bind data and mutate a column called samp_ind that is set to sampled for # sampled data and unsampled for unsampled data dat <- unsampled_dat |> mutate(samp_ind = "unsampled") |> rbind( sampled_dat |> mutate(samp_ind = "sampled") ) dat |> ggplot(aes(x = x, y = y)) + facet_wrap(~ samp_ind, scales = "free") + geom_path(aes(color = step_number)) + geom_point(data = dat |> group_by(samp_ind) |> filter( step_number == min(step_number) | step_number == max(step_number) ), aes(color = step_number), size = 3) + scale_color_viridis_c(option = "plasma") + labs(title = "2D Random t-distribution Walk", x = "X Position", y = "Y Position") + theme_minimal() + theme(legend.position = "none") + theme( axis.text.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.ticks.x = element_blank() ) random_t_walk(.initial_value = 10) |> visualize_walks(.pluck = 2) library(RandomWalker) library(ggplot2) library(dplyr) set.seed(123) unsampled_dat <- random_t_walk( .dimensions = 2, .num_walks = 1, .samp = FALSE ) set.seed(123) sampled_dat <- random_t_walk( .dimensions = 2, .num_walks = 1, .samp = TRUE ) # row_bind data and mutate a column called samp_ind that is set to sampled for # sampled data and unsampled for unsampled data dat <- unsampled_dat |> mutate(samp_ind = "unsampled") |> rbind( sampled_dat |> mutate(samp_ind = "sampled") ) dat |> ggplot(aes(x = x, y = y)) + facet_wrap(~ samp_ind, scales = "free") + geom_path(aes(color = step_number)) + geom_point(data = dat |> group_by(samp_ind) |> filter( step_number == min(step_number) | step_number == max(step_number) ), aes(color = step_number), size = 3) + scale_color_viridis_c(option = "plasma") + labs(title = "2D Random t-distribution Walk", x = "X Position", y = "Y Position") + theme_minimal() + theme(legend.position = "none") + theme( axis.text.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.ticks.x = element_blank() ) random_t_walk(.initial_value = 10) |> visualize_walks(.pluck = 2) library(RandomWalker) library(ggplot2) library(dplyr) set.seed(123) unsampled_dat <- random_t_walk( .dimensions = 2, .num_walks = 1, .samp = FALSE ) set.seed(123) sampled_dat <- random_t_walk( .dimensions = 2, .num_walks = 1, .samp = TRUE ) # row_bind data and mutate a column called samp_ind that is set to sampled for # sampled data and unsampled for unsampled data dat <- unsampled_dat |> mutate(samp_ind = "unsampled") |> rbind( sampled_dat |> mutate(samp_ind = "sampled") ) dat |> ggplot(aes(x = x, y = y)) + facet_wrap(~ samp_ind, scales = "free") + geom_path(aes(color = step_number)) + geom_point(data = dat |> group_by(samp_ind) |> filter( step_number == min(step_number) | step_number == max(step_number) ), aes(color = step_number), size = 3) + scale_color_viridis_c(option = "plasma") + labs(title = "2D Random t-distribution Walk", x = "X Position", y = "Y Position") + theme_minimal() + theme(legend.position = "none") + theme( axis.text.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.ticks.x = element_blank() ) random_t_walk(.initial_value = 10) |> visualize_walks(.pluck = 2)
July 12, 2025 at 1:10 PM
spsanderson.com
Next up on the list for my RandomWalker package is random_uniform_walk() which uses the runif() as it's base.

#R #RStats #RandomWalker #RandomWalks #tidy #ggplot2 #RProgramming #RCode
library(RandomWalker) library(ggplot2) library(dplyr) set.seed(123) unsampled_dat <- random_uniform_walk( .dimensions = 2, .num_walks = 1, .samp = FALSE ) set.seed(123) sampled_dat <- random_uniform_walk( .dimensions = 2, .num_walks = 1, .samp = TRUE ) # row_bind data and mutate a column called samp_ind that is set to sampled for # sampled data and unsampled for unsampled data dat <- unsampled_dat |> mutate(samp_ind = "unsampled") |> rbind( sampled_dat |> mutate(samp_ind = "sampled") ) dat |> ggplot(aes(x = x, y = y)) + facet_wrap(~ samp_ind, scales = "free") + geom_path(aes(color = step_number)) + geom_point(data = dat |> group_by(samp_ind) |> filter( step_number == min(step_number) | step_number == max(step_number) ), aes(color = step_number), size = 3) + scale_color_viridis_c(option = "plasma") + labs(title = "2D Random Uniform Walk", x = "X Position", y = "Y Position") + theme_minimal() + theme(legend.position = "none") + theme( axis.text.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.ticks.x = element_blank() ) library(RandomWalker) library(ggplot2) library(dplyr) set.seed(123) unsampled_dat <- random_uniform_walk( .dimensions = 2, .num_walks = 1, .samp = FALSE ) set.seed(123) sampled_dat <- random_uniform_walk( .dimensions = 2, .num_walks = 1, .samp = TRUE ) # row_bind data and mutate a column called samp_ind that is set to sampled for # sampled data and unsampled for unsampled data dat <- unsampled_dat |> mutate(samp_ind = "unsampled") |> rbind( sampled_dat |> mutate(samp_ind = "sampled") ) dat |> ggplot(aes(x = x, y = y)) + facet_wrap(~ samp_ind, scales = "free") + geom_path(aes(color = step_number)) + geom_point(data = dat |> group_by(samp_ind) |> filter( step_number == min(step_number) | step_number == max(step_number) ), aes(color = step_number), size = 3) + scale_color_viridis_c(option = "plasma") + labs(title = "2D Random Uniform Walk", x = "X Position", y = "Y Position") + theme_minimal() + theme(legend.position = "none") + theme( axis.text.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.ticks.x = element_blank() )
July 12, 2025 at 12:12 PM
spsanderson.com
Next up and last for today is the rweibull distribution from base R added to RandomWalker development.

#R #ggplot2 #TidyData #RandomWalker #RandomWalks #Random #Programming #Coding #RCode #RProgramming
library(RandomWalker) library(ggplot2) library(dplyr) set.seed(123) unsampled_dat <- random_weibull_walk( .dimensions = 2, .num_walks = 1, .samp = FALSE ) set.seed(123) sampled_dat <- random_weibull_walk( .dimensions = 2, .num_walks = 1, .samp = TRUE ) # row_bind data and mutate a column called samp_ind that is set to sampled for # sampled data and unsampled for unsampled data dat <- unsampled_dat |> mutate(samp_ind = "unsampled") |> rbind( sampled_dat |> mutate(samp_ind = "sampled") ) dat |> ggplot(aes(x = x, y = y)) + facet_wrap(~ samp_ind, scales = "free") + geom_path(aes(color = step_number)) + geom_point(data = dat |> group_by(samp_ind) |> filter( step_number == min(step_number) | step_number == max(step_number) ), aes(color = step_number), size = 3) + scale_color_viridis_c(option = "plasma") + labs(title = "2D Random Weibull Walk", x = "X Position", y = "Y Position") + theme_minimal() + theme(legend.position = "none") + theme( axis.text.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.ticks.x = element_blank() ) library(RandomWalker) library(ggplot2) library(dplyr) set.seed(123) unsampled_dat <- random_weibull_walk( .dimensions = 2, .num_walks = 1, .samp = FALSE ) set.seed(123) sampled_dat <- random_weibull_walk( .dimensions = 2, .num_walks = 1, .samp = TRUE ) # row_bind data and mutate a column called samp_ind that is set to sampled for # sampled data and unsampled for unsampled data dat <- unsampled_dat |> mutate(samp_ind = "unsampled") |> rbind( sampled_dat |> mutate(samp_ind = "sampled") ) dat |> ggplot(aes(x = x, y = y)) + facet_wrap(~ samp_ind, scales = "free") + geom_path(aes(color = step_number)) + geom_point(data = dat |> group_by(samp_ind) |> filter( step_number == min(step_number) | step_number == max(step_number) ), aes(color = step_number), size = 3) + scale_color_viridis_c(option = "plasma") + labs(title = "2D Random Weibull Walk", x = "X Position", y = "Y Position") + theme_minimal() + theme(legend.position = "none") + theme( axis.text.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.ticks.x = element_blank() )
July 10, 2025 at 3:15 PM
lrmsoares.bsky.social
Airb"ene"B 🤝 "Que"RCode
June 27, 2025 at 10:02 AM
brucecoffman.bsky.social
#Foodsky #foodie Oh, I want!
www.iherb.com/pr/simply-or...
https://www.iherb.com/pr/simply-organic-herbes-de-provence-1-00-oz-28-g/46805?rcode=MDK2873
May 29, 2025 at 11:11 PM