Question
Reference: MAT 2375 Introduction to statistics and MAT3378 Analysis of experience plans Project: Necessary packages. library (PMCMRplus) # For Nemenyi test library (PMCMR) library (tidyverse)
Reference: MAT 2375 Introduction to statistics and MAT3378 Analysis of experience plans
Project: Necessary packages.
library (PMCMRplus) # For Nemenyi test
library (PMCMR)
library (tidyverse)
library (ggpubr)
library (rstatix)
Partie I : Non-parametric tests
sample_data <- data. frame(
Resistance = c (14.87, 16.81, 15.83, 15.47, 13.6, 14.76,
17.4, 14.62, 18.43, 18.76, 20.12, 19.11, 19.81, 18.43,
17.16, 16.4, 16.95, 12.28, 12, 13.18,
14.99, 15.76, 19.35, 15.52,8.59, 10.9, 8.6, 10.13,
10.28, 9.98, 9.41, 10.04, 11.55, 13.36,
13.64, 12.16, 11.62, 12.39, 12.05, 11.95),
Type = as. factor (c(rep(1, 8), rep(2, 8),
rep (3, 8), rep(4, 8), (5, 8)))
)
set.seed123 # For the reproducibility
data - sample_data[sample(1:nrow(sample_data), size = 100, replace = TRUE), ]
Questions
Let's consider the dataset: data.
1. Overall comparison of the resistance of different types of materials: Is there a significant variation in resistance between different types of materials?
2. Specific contact between two types: Is there a significant difference of resistance between type one and type two ?
3. Post hoc analysis after Kruskal-Wallisl: Which significant pairs of types have significant differences in strength after finding a significant overall difference?
4. Analysis of trends between the selected types: How does resistance vary from type 1 to type 4?
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