Top "Anova" questions

ANOVA is an acronym for "analysis of variance". It is a widely used statistical technique to analyze the source of variance within a data set.

Extract p-value from aov

I am looking to extract the p-value generated from an anova in R. Here is what I am running: test &…

r anova
invalid type (list) for variable

I am trying to run an anova model in R. I have a data file which contains 3 rows and 12 columns. …

r anova
R error which says "Models were not all fitted to the same size of dataset"

I have created two generalised linear models as follows: glm1 <-glm(Y ~ X1 + X2 + X3, family=binomial(link=logit)) …

r glm lm anova
How to do one-way ANOVA in R with unequal sample sizes?

Trying to learn R. A question from an old stats text want's to know if there is a difference in …

r size sample anova
ANOVA in python using pandas dataframe with statsmodels or scipy?

I want to use the Pandas dataframe to breakdown the variance in one variable. For example, if I have a …

python pandas scipy statsmodels anova
Comparing two linear models with anova() in R

I don't quite understand what the p-value in this output means. I don't mean p-values as such, but in this …

r regression linear-regression anova
How to do a Tukey HSD test with the Anova command (car package)

I'm dealing with an unbalanced design/sample and originally learned aov(). I know now that for my ANOVA tests I …

r lm anova tukey r-car
When should I use aov() and when anova()?

I have referred to much of online literature but it is increasing my confusion. Much of the discussion is too …

r anova
scikit learn: how to check coefficients significance

i tried to do a LR with SKLearn for a rather large dataset with ~600 dummy and only few interval variables (…

scikit-learn logistic-regression anova dummy-data
Interpeting R significance codes for ANOVA table?

test data frame: > foo x y z 1 0.191 0.324 0.620 2 0.229 0.302 0.648 3 0.191 0.351 0.626 4 0.229 0.324 0.630 5 0.152 0.374 0.656 6 0.191 0.295 0.609 7 0.229 0.267 0.665 8 0.152 0.353 0.657 9 0.152 0.355 0.655 Two linear models: model1 <- lm(z~polym(x,y,degree = 1),…

r regression anova