User contributions for Brb
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11 March 2024
- 11:1711:17, 11 March 2024 diff hist +1,447 Genome →DNA methylation, Epigenetics
10 March 2024
- 20:1020:10, 10 March 2024 diff hist +227 Genome →TCGAbiolinks
9 March 2024
- 22:5722:57, 9 March 2024 diff hist +55 NAS →Zimablade
- 22:5322:53, 9 March 2024 diff hist +834 NAS →ODroid xu4
- 19:5719:57, 9 March 2024 diff hist +23 Docker →CasaOS
- 19:5219:52, 9 March 2024 diff hist +137 Docker →CasaOS
8 March 2024
- 16:5416:54, 8 March 2024 diff hist +54 Regression →Example 2: data with outliers
- 16:5116:51, 8 March 2024 diff hist +366 Regression →Example 1: data with outliers
- 16:4916:49, 8 March 2024 diff hist +805 N File:DataOutliers2.png {{Pre}} puree <- read.csv("https://gist.githubusercontent.com/arraytools/e851ed88c7456779557fbf3ed67b157a/raw/9971c61fea1db99acbd9de17ea82679ba9811358/dataOutliers2.csv", header=F) plot(puree[,1], puree[, 2], xlab="X", ylab="Y") abline(lm(V2 ~ V1, data = puree)) # robust regression require(MASS) summary(rlm(V2 ~ V1, data = puree)) abline(rr.huber <- rlm(V2 ~ V1, data = puree), col = "blue") # quantile regression library(quantreg) abline(rq(V2 ~ V1, data=puree, tau = 0.5), col = "red") # theil... current
- 15:1915:19, 8 March 2024 diff hist +155 R packages →Posit Package Manager/RStudio Package Manager
- 12:3912:39, 8 March 2024 diff hist +7 Genome →Low read count and filtering
- 12:1312:13, 8 March 2024 diff hist +1,603 Genome →Low read count and filtering
- 11:1711:17, 8 March 2024 diff hist +1,043 Genome →Low read count and filtering
- 09:1409:14, 8 March 2024 diff hist +95 Online tools →Extract the values of data in a plot
- 08:5908:59, 8 March 2024 diff hist +59 Online tools →Extract the values of data in a plot
- 08:4208:42, 8 March 2024 diff hist +5 Jetson →General information current
- 08:3408:34, 8 March 2024 diff hist +242 Video →Video Trimmer
7 March 2024
- 18:2218:22, 7 March 2024 diff hist +130 Recipes →鍋子噴火
- 18:1818:18, 7 March 2024 diff hist +202 R →factor(x , levels = ...) vs levels(x) <-
- 18:1518:15, 7 March 2024 diff hist +255 R →factor(x , levels = ...) vs levels(x) <-