anova

invalid type (list) for variable

由 我怕爱的太早我们不能终老 提交于 2020-03-21 16:07:52
问题 I am trying to run an anova model in R. I have a data file which contains 3 rows and 12 columns. Each row is data for a particular level of the explanatory variable. Cell [i,j] is the j'th response for level i. The file is ".dat" extension. I am running the following R code to try to get a 36 by 2 data frame to run the anova model instead of the 3 by 12 original data frame: data <- read.table("usedcar.dat", row.names = 1) young <- data[1,] med <- data[2,] old <- data[3,] Price <- c(young, med

invalid type (list) for variable

由 烈酒焚心 提交于 2020-03-21 16:07:02
问题 I am trying to run an anova model in R. I have a data file which contains 3 rows and 12 columns. Each row is data for a particular level of the explanatory variable. Cell [i,j] is the j'th response for level i. The file is ".dat" extension. I am running the following R code to try to get a 36 by 2 data frame to run the anova model instead of the 3 by 12 original data frame: data <- read.table("usedcar.dat", row.names = 1) young <- data[1,] med <- data[2,] old <- data[3,] Price <- c(young, med

R语言可视化学习笔记之添加p-value和显著性标记

由 夙愿已清 提交于 2020-03-10 04:21:26
R语言可视化学习笔记之添加p-value和显著性标记 http://www.jianshu.com/p/b7274afff14f?from=timeline 上篇文章中提了一下如何通过ggpubr包为 ggplot 图添加 p-value 以及显著性标记,本文将详细介绍。利用数据集ToothGrowth进行演示 #先加载包 library(ggpubr) #加载数据集ToothGrowth data("ToothGrowth") head(ToothGrowth) ## len supp dose ## 1 4.2 VC 0.5 ## 2 11.5 VC 0.5 ## 3 7.3 VC 0.5 ## 4 5.8 VC 0.5 ## 5 6.4 VC 0.5 ## 6 10.0 VC 0.5 比较方法 R中常用的比较方法主要有下面几种： 方法 R函数 描述 T-test t.test() 比较两组(参数) Wilcoxon test wilcox.test() 比较两组(非参数) ANOVA aov()或anova() 比较多组(参数) Kruskal-Wallis kruskal.test() 比较多组(非参数) 各种比较方法后续有时间一一讲解。 添加 p-value 主要利用ggpubr包中的两个函数： compare_means() :可以进行一组或多组间的比较 stat

Correct use of sapply with Anova on multiple subsets in R

由 孤街醉人 提交于 2020-02-03 02:07:48
问题 I am trying to run a two-way ANOVA on multiple subsets of a data frame without having to actually subset the data as this is in-efficient Example data: DF<-structure(list(Sample = c(666L, 676L, 686L, 667L, 677L, 687L, 822L, 832L, 842L, 824L, 834L, 844L), Time = c(300L, 300L, 300L, 300L, 300L, 300L, 400L, 400L, 400L, 400L, 400L, 400L), Ploidy = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("2n", "3n"), class = "factor"), Tissue = c("muscle", "muscle", "muscle", "liver

Correct use of sapply with Anova on multiple subsets in R

由 删除回忆录丶 提交于 2020-02-03 02:07:20
问题 I am trying to run a two-way ANOVA on multiple subsets of a data frame without having to actually subset the data as this is in-efficient Example data: DF<-structure(list(Sample = c(666L, 676L, 686L, 667L, 677L, 687L, 822L, 832L, 842L, 824L, 834L, 844L), Time = c(300L, 300L, 300L, 300L, 300L, 300L, 400L, 400L, 400L, 400L, 400L, 400L), Ploidy = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("2n", "3n"), class = "factor"), Tissue = c("muscle", "muscle", "muscle", "liver

N-way ANOVA in R

由 一世执手 提交于 2020-01-25 11:10:52
问题 I need some help in performing N-way ANOVA in R to capture inter dependencies among different factors. In my data, there are around 100 different factors and I am using the following code to perform ANOVA. model.lm<-lm(y~., data=data) anova(model.lm) As far as I know (may be I am wrong) that this performs 1-way ANOVA at each factor alone. For some reasons, I need to perform N-way ANOVA between all the 100 groups i.e from x1 to x100. Do I need to specify each factor like the following or there

How to speed up the analysis of ANOVA in R [closed]

由 坚强是说给别人听的谎言 提交于 2020-01-25 06:53:25
问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 5 days ago . I have 2000 rows and three variables. I want to run ANOVA for may data, but it takes lots of time to get the output. Here is the formula that I use: fit<-anova(lm(Value~factor(X)*Y,df1)) Could we do better to get the output? Due to a big data frame, I was unable to produce it, but the formula

one way ANOVA and TUKEY in R with conditions

由 前提是你 提交于 2020-01-16 16:29:09
问题 I am trying to find the mean differences between my variable stim_ending_t which contains the following 6 factors: 1, 1.5, 2, 2.5, 3, 3.5 You can access the df Here stim_ending_t visbility soundvolume Opening_text m sd coefVar <dbl> <dbl> <dbl> <chr> <dbl> <dbl> <dbl> 1 1 0 0 Now focus on the Image 1.70 1.14 0.670 2 1 0 0 Now focus on the Sound 1.57 0.794 0.504 3 1 0 1 Now focus on the Image 1.55 1.09 0.701 4 1 0 1 Now focus on the Sound 1.77 0.953 0.540 5 1 1 0 Now focus on the Image 1.38 0

Customize ANOVA table in Mathematica

由 孤者浪人 提交于 2020-01-06 10:58:26
问题 Is there a way to customize the way ANOVA table look ? Without to much effort manipulating each element of the list ? 回答1: You could try Grid[(ANOVA /. yourresult)] and the various styling options for Grids described in the documentation. (see also the tutorial) If there is a hidden TableForm on the right hand side of that rule, you might need to do something like Grid[InputForm[(ANOVA /. yourresult)]] . 来源： https://stackoverflow.com/questions/7425696/customize-anova-table-in-mathematica

Customize ANOVA table in Mathematica

由 时光毁灭记忆、已成空白 提交于 2020-01-06 10:58:26
问题 Is there a way to customize the way ANOVA table look ? Without to much effort manipulating each element of the list ? 回答1: You could try Grid[(ANOVA /. yourresult)] and the various styling options for Grids described in the documentation. (see also the tutorial) If there is a hidden TableForm on the right hand side of that rule, you might need to do something like Grid[InputForm[(ANOVA /. yourresult)]] . 来源： https://stackoverflow.com/questions/7425696/customize-anova-table-in-mathematica
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