Comments on: How to Perform Multiple T-test in R for Different Variables https://www.datanovia.com/en/blog/how-to-perform-multiple-t-test-in-r-for-different-variables/ Data Mining and Statistics for Decision Support Tue, 02 May 2023 10:05:43 +0000 hourly 1 https://wordpress.org/?v=6.8.2 By: Ethan https://www.datanovia.com/en/blog/how-to-perform-multiple-t-test-in-r-for-different-variables/#comment-28729 Tue, 02 May 2023 10:05:43 +0000 https://www.datanovia.com/en/?p=15407#comment-28729 Hi, this is a very good script! I use this but cannot modify the axis lebel, can anyone tell me where to do that?

]]> By: Cheoma Frongia https://www.datanovia.com/en/blog/how-to-perform-multiple-t-test-in-r-for-different-variables/#comment-28550 Thu, 08 Dec 2022 20:19:54 +0000 https://www.datanovia.com/en/?p=15407#comment-28550 Thanks a lot!! Simple and clear to run 🙂 It works perfectly

]]> By: Andi https://www.datanovia.com/en/blog/how-to-perform-multiple-t-test-in-r-for-different-variables/#comment-22935 Tue, 02 Aug 2022 06:13:01 +0000 https://www.datanovia.com/en/?p=15407#comment-22935 Thanks for the brilliant tutorial. With my data I run into the problem of the y axes scales which vary strongly between variables and I cannot figure out how to adjust them. Can you give me a hint?

]]> By: jay https://www.datanovia.com/en/blog/how-to-perform-multiple-t-test-in-r-for-different-variables/#comment-20656 Sun, 28 Jun 2020 03:36:06 +0000 https://www.datanovia.com/en/?p=15407#comment-20656 # data
example.df <- data.frame(
genotype = sample(c("A", "B","C","D"), 50, replace = TRUE),
oxygen = sample(c("Yes", "No"), 50, replace = TRUE),
value1 = rnorm(50, 100, 5), value2=rnorm(50, 10,5), value3 = rnorm (50, 25, 5))

# plot
ggboxplot(example.df, x = "genotype", y = "value1", color = "oxygen", bxp.errorbar = TRUE, palette = "jco")

# stat test
stat.test %
group_by(oxygen) %>%
dunn_test(value1~genotype) %>%
adjust_pvalue(method = “bonferroni”) %>%
add_significance(“p.adj”)

If I wanted to use dunn test to perform all comparisons between the genotypes grouped by oxygen, for all numeric variables and generate plots with significance values for only certain comparisons, how could I accomplish that?

Thanks

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