User contributions for Brb
25 December 2025
- 09:5509:55, 25 December 2025 diff hist +183 Browser →Librewolf
- 09:5309:53, 25 December 2025 diff hist +136 Hardware →HDMI & CEC
- 09:5209:52, 25 December 2025 diff hist +209 Rust →Install current
- 09:4609:46, 25 December 2025 diff hist +194 Docker Applications →Website analysis
- 09:3009:30, 25 December 2025 diff hist +150 Health →Vitamin B12 (Cobalamin/Cyanocobalamin)
- 09:1109:11, 25 December 2025 diff hist +150 Mac →Apple Server
23 December 2025
- 21:5821:58, 23 December 2025 diff hist +31 RetroPie →Key mapper
- 21:4521:45, 23 December 2025 diff hist +319 RetroPie →Wii remote
- 13:5013:50, 23 December 2025 diff hist +328 Life →保險 Insurance
22 December 2025
- 21:4121:41, 22 December 2025 diff hist +69 Android →File manager/explorer
- 21:3821:38, 22 December 2025 diff hist +328 Android →Solid explorer
- 15:1815:18, 22 December 2025 diff hist +202 Statistics →UMAP current
- 11:1311:13, 22 December 2025 diff hist +468 Heatmap →ComplexHeatmap
- 11:0811:08, 22 December 2025 diff hist +1,432 N File:Annotation legend param.png <syntaxhighlight lang='r'> library(RColorBrewer) library(ComplexHeatmap) set.seed(123) n <- 100 df <- data.frame( Subtype = sample(c("Hyperdiploid", "Ph-like", "DUX4", "Ph"), n, replace = TRUE), Sex = sample(c("Male", "Female"), n, replace = TRUE), Age_Group = sample(c("Childhood", "Adult"), n, replace = TRUE) ) # 1. Define distinct palettes # Subtype: Using "Set3" or "Paired" for many categories subtype_cols <- setNames( colorRampPalette(brewer.pal(12, "Paired"))(length(unique(df$S... current
- 10:3810:38, 22 December 2025 diff hist +179 Car →EV car
- 10:3610:36, 22 December 2025 diff hist +174 Docker Applications →Bitwarden
- 10:3410:34, 22 December 2025 diff hist +193 Android →Weather
- 10:3210:32, 22 December 2025 diff hist +83 NAS →OpenCloud
- 10:3010:30, 22 December 2025 diff hist +298 Online tools →Sound
- 10:2710:27, 22 December 2025 diff hist +201 NAS →NextCloud
21 December 2025
- 14:4114:41, 21 December 2025 diff hist +221 NAS →Sharing
- 14:3814:38, 21 December 2025 diff hist +1,081 NAS →Sharing
- 13:1913:19, 21 December 2025 diff hist +319 NAS →Sharing
- 13:0313:03, 21 December 2025 diff hist +705 NAS →Upgrade
- 13:0213:02, 21 December 2025 diff hist +140 NAS →Where are shared folders
- 11:1611:16, 21 December 2025 diff hist +903 NAS →Update
20 December 2025
- 20:5120:51, 20 December 2025 diff hist +141 Tidymodels →tidyAML current
- 20:4920:49, 20 December 2025 diff hist +140 Self hosting →Turnkey distros/images/appliance
- 20:4820:48, 20 December 2025 diff hist +168 Ubuntu →Gparted
- 20:4120:41, 20 December 2025 diff hist +168 Router →USB port
- 20:3720:37, 20 December 2025 diff hist +321 Android →Media player
- 20:3520:35, 20 December 2025 diff hist +251 Android →Video Editor
- 20:3120:31, 20 December 2025 diff hist +184 Online tools →Podcast
- 20:2920:29, 20 December 2025 diff hist +269 Statistics →Box(Box, whisker & outlier)
- 20:2520:25, 20 December 2025 diff hist +176 Tidyverse →Examples
- 20:2220:22, 20 December 2025 diff hist +325 Statistics →UMAP
- 20:1420:14, 20 December 2025 diff hist +377 PCA →Biplot current
- 14:1814:18, 20 December 2025 diff hist +344 NAS →TrueNAS
19 December 2025
- 16:3416:34, 19 December 2025 diff hist +62 Statistics →UMAP
- 16:3216:32, 19 December 2025 diff hist +233 Statistics →UMAP
- 15:1515:15, 19 December 2025 diff hist +569 Statistics →UMAP
- 14:3714:37, 19 December 2025 diff hist +119 Statistics →UMAP
- 14:3314:33, 19 December 2025 diff hist +1,471 N File:Uwot.png <syntaxhighlight lang='r'> # Prepare data library(uwot) library(ggplot2) library(dplyr) # training and test sets (as given) iris_train <- iris[c(1:10, 51:60), ] iris_test <- iris[100:110, ] # numeric feature matrices x_train <- as.matrix(iris_train[, 1:4]) x_test <- as.matrix(iris_test[, 1:4]) # Fit UMAP on training data (keep model) set.seed(123) umap_model <- umap( x_train, n_neighbors = 5, min_dist = 0.1, n_components = 2, ret_model = TRUE ) # training embedding train_embe... current
- 14:0614:06, 19 December 2025 diff hist +37 Statistics →UMAP
- 14:0414:04, 19 December 2025 diff hist +217 Statistics →UMAP
- 13:4413:44, 19 December 2025 diff hist +958 Statistics →UMAP
- 12:0412:04, 19 December 2025 diff hist −44 T-test No edit summary
18 December 2025
- 16:3316:33, 18 December 2025 diff hist +133 Hardware →Slots
- 16:3016:30, 18 December 2025 diff hist +164 House →Drill
- 16:2916:29, 18 December 2025 diff hist +170 Android →F-Droid