query: residual normality test in R
positive_passages.docid: 143460
positive_passages.text: Non-normality in residuals
negative_passages.docid: 76044
negative_passages.text: Post hoc test after ANOVA with repeated measures using R
negative_passages.docid: 30561
negative_passages.text: The conditional normal distribution
negative_passages.docid: 127970
negative_passages.text: Power analysis for Kruskal-Wallis or Mann-Whitney U test using R?
negative_passages.docid: 1637
negative_passages.text: R : use of t.test function in data frame or matrix
negative_passages.docid: 109816
negative_passages.text: z-score and Normal Distribution
negative_passages.docid: 37143
negative_passages.text: What if residuals are normally distributed, but y is not?
negative_passages.docid: 23190
negative_passages.text: Interpretation of the t.test and Wilcox.test in R
negative_passages.docid: 80705
negative_passages.text: Why divide by $n-2$ for residual standard errors
negative_passages.docid: 26221
negative_passages.text: Regression - How do I know if my residuals are normally distributed?
negative_passages.docid: 153314
negative_passages.text: Multiple Regression, Normal distribution and Normalization
negative_passages.docid: 109535
negative_passages.text: Measures of residuals heteroscedasticity
negative_passages.docid: 103793
negative_passages.text: Conflicting Normality Tests
negative_passages.docid: 113833
negative_passages.text: How do I deal with NAs in residuals in a regression in R?
negative_passages.docid: 14138
negative_passages.text: Normality test with large data set
negative_passages.docid: 118221
negative_passages.text: How to generate correlated test data that has Bernoulli, categorical, and continuous vectors (in R)?
negative_passages.docid: 68257
negative_passages.text: Computing p-value using bootstrap with R