User contributions for Brb

20 January 2023

• 09:4509:45, 20 January 2023 diff hist +878 Writing →which
• 09:1609:16, 20 January 2023 diff hist +783 Genome →PDX/Xenograft
• 09:0409:04, 20 January 2023 diff hist +600 Writing →On vs in vs for
• 07:3907:39, 20 January 2023 diff hist +28 Writing →AI Paraphrase tool

19 January 2023

• 16:2216:22, 19 January 2023 diff hist +121 Docker Applications →Guacamole
• 16:2116:21, 19 January 2023 diff hist +819 T-test →Relation to ANOVA
• 16:1316:13, 19 January 2023 diff hist +3,471 T-test →Repeated measure
• 15:2615:26, 19 January 2023 diff hist +159 T-test →Relation to ANOVA
• 15:2415:24, 19 January 2023 diff hist +248 T-test →Repeated measure
• 15:1215:12, 19 January 2023 diff hist +498 T-test →Paired test, Wilcoxon signed rank test
• 10:5410:54, 19 January 2023 diff hist +1,333 T-test →Paired test, Wilcoxon signed rank test

16 January 2023

• 21:3121:31, 16 January 2023 diff hist +16 R packages →groundhog package
• 21:3121:31, 16 January 2023 diff hist +267 R packages →groundhog package
• 21:1921:19, 16 January 2023 diff hist +255 R packages →groundhog package
• 21:1521:15, 16 January 2023 diff hist +106 R packages →groundhog package
• 21:0821:08, 16 January 2023 diff hist +368 R packages →groundhog package
• 21:0321:03, 16 January 2023 diff hist +89 R packages →groundhog package
• 20:5620:56, 16 January 2023 diff hist +716 R packages →MRAN (CRAN only)
• 18:2518:25, 16 January 2023 diff hist +145 Life →Money 理財
• 14:5414:54, 16 January 2023 diff hist +135 Recipes →What’s the Difference Between Cake Flour, Pastry Flour, All-Purpose Flour, and Bread Flour
• 14:5314:53, 16 January 2023 diff hist +14 Recipes →發糕
• 14:5214:52, 16 January 2023 diff hist +11 Recipes →發糕
• 14:5114:51, 16 January 2023 diff hist +28 Recipes →發糕
• 14:4914:49, 16 January 2023 diff hist +69 Recipes →發糕
• 14:4714:47, 16 January 2023 diff hist +70 Recipes →紅豆年糕
• 14:4714:47, 16 January 2023 diff hist −20 Recipes →紅糖發糕
• 14:4514:45, 16 January 2023 diff hist −21 Recipes →紅豆年糕
• 09:5709:57, 16 January 2023 diff hist +248 R →sketcher: photo to sketch effects
• 09:5109:51, 16 January 2023 diff hist +148 Android →Amazon Devices
• 09:4909:49, 16 January 2023 diff hist +155 Arduino →Arduino Web Editor current
• 09:4709:47, 16 January 2023 diff hist +113 Health →普林/嘌呤/purine and gout
• 09:4509:45, 16 January 2023 diff hist +263 Health →普林/嘌呤/purine and gout
• 09:4209:42, 16 January 2023 diff hist +172 R packages →install a package as it existed on a specific date/snapshot: mran repository

15 January 2023

• 19:2619:26, 15 January 2023 diff hist +71 Images →Free images
• 19:2619:26, 15 January 2023 diff hist +150 Images →Remove GPS metadata from jpg files - exiftool

14 January 2023

• 21:4121:41, 14 January 2023 diff hist +83 Ggplot2 →Use geom_line() to create a square bracket to annotate the plot
• 21:3921:39, 14 January 2023 diff hist +78 File:RbdGeom.png →Summary current
• 21:3821:38, 14 January 2023 diff hist +121 Ggplot2 →Overall title
• 21:2721:27, 14 January 2023 diff hist +59 T-test →Randomized block design
• 21:2621:26, 14 January 2023 diff hist +260 N File:RbdGeom.png <pre> require(ggplot2) aggregate( .~ treatment +block,FUN=median, data = data) |> ggplot(aes(treatment, yield)) + geom_line(aes(group = block, color = block), linewidth = 1.2) + geom_point(aes(color = block), shape = 15, size=2.6) </pre>
• 20:5220:52, 14 January 2023 diff hist −345 T-test →Randomized block design
• 20:5120:51, 14 January 2023 diff hist +996 N File:RbdBlock.png <pre> set.seed(1234) block <- as.factor(rep(1:5, each=6)) treatment <- rep(c("A","B","C"),5) block_shift <- rnorm(5, mean = 0, sd = 2) treatment_shift <- c(A=0, B=4, C=2) random_effect <- rnorm(30, mean = 0, sd = 1) yield <- rnorm(30, mean = 10, sd = 2) + treatment_shift[as.integer(factor(treatment))] + block_shift[as.numeric(block)] + random_effect data <- data.frame(block, treatment, yield) summary(fm1 <- aov(yield ~ treatment + block, data = data)) # Df Sum Sq Mean Sq... current
• 20:5020:50, 14 January 2023 diff hist +1,015 N File:RbdTreat.png <pre> set.seed(1234) block <- as.factor(rep(1:5, each=6)) treatment <- rep(c("A","B","C"),5) block_shift <- rnorm(5, mean = 0, sd = 2) treatment_shift <- c(A=0, B=4, C=2) random_effect <- rnorm(30, mean = 0, sd = 1) yield <- rnorm(30, mean = 10, sd = 2) + treatment_shift[as.integer(factor(treatment))] + block_shift[as.numeric(block)] + random_effect data <- data.frame(block, treatment, yield) summary(fm1 <- aov(yield ~ treatment + block, data = data)) # Df Sum Sq Mean Sq... current
• 20:4320:43, 14 January 2023 diff hist +5,270 T-test →Randomized block design
• 20:1020:10, 14 January 2023 diff hist +90 Grub →Not see Grub after re-install/upgrade Windows

13 January 2023

• 17:1317:13, 13 January 2023 diff hist +231 T-test →Randomized block design
• 15:0715:07, 13 January 2023 diff hist +1,177 T-test →Post-hoc test
• 14:5514:55, 13 January 2023 diff hist +623 T-test →Randomized block design
• 09:5909:59, 13 January 2023 diff hist +1,510 Cancer →Differentiated tumor (grade), stage
• 09:3109:31, 13 January 2023 diff hist +333 Survival data →Prognostic factor