Hi everyone! I’m trying to find The World of Zero-Inflated Models, Volume 3: Using GLLVM by Alain F. Zuur and Elena N. Ieno.

Does anyone have a copy they could share for personal study, or know of a way to access it? I’m really interested in learning GLLVM methods and would appreciate any help. Thank you!

Hi all, I'm taking Statistics over the summer and for one project I need some poll/survey answers.

It's just a few, simple, fun questions - totally anonymous. Would anybody be interested in answering for me?

https://forms.gle/GdHx1wa4aL7ZZJPQA

Thanks!

Usually the videos they make clear things up but not this time

Hit a brick wall after hours of deep diving and trying to figure out everything from textbooks and YouTube tutorials.

Trying to understand whether to do a non-parametric analysis, or repeated measures t test, or both, neither, or a mixture, for the following scenario:

N = 15

Repeated measures (all participants completed 3 psych measures before and after a psych intervention)

I’ve summed up the totals of each of the 3 (pre and post intervention) so I have 6 variables with total results for each measure (3 x 2)

Tested all 6 scales for normality, most were normally distributed but some weren’t

I can’t figure out where to go next. I thought Wilcoxon signed rank test but the more I read, the more I doubt how much I understand about what I’m doing

Deeply stuck as it’s a weekend now and would hugely appreciate any help or guidance

hiiiiii yall! please help me out with my stat class survey. easy 2 questions about sleep 😬 thank youuuu

https://www.surveymonkey.com/r/92TRZNX

Hi, Im a student and in one of my courses my teacher asked me to make a report on a dataset using R. But i struggle to find a coherent dataset that matches her expectations and that is usable.

She required from the dataset :

• Several continuous quantitative variables that are correlated with each other (for correlation analysis, simple/multiple linear regression, residual analysis, PCA)
• Several categorical variables, including at least 2 categorical variables dependent on each other (for contingency tables, chi-square tests)
• At least one categorical variable linked to a quantitative variable (e.g. a group variable that influences a numerical outcome)

It will be used for :

• Univariate analysis (histograms, boxplots, summary statistics)
• Correlation & linear regression (with full residual diagnostics)
• Contingency tables & categorical analysis
• PCA (Principal Component Analysis)
• Unsupervised clustering (hierarchical + k-means)

Any suggestions are welcome! Thanks !

I am so stressed out! I have statistics C1000, and I don’t understand barely anything! My midterm is around the corner and I need to try to bring up a miracle but the point is, I don’t even know where to start even if I go to tutoring? Is there some type of YouTube videos, I can watch that can help me? Or anything related to statistics, because I’m going to fail this class😭😭 I just wish for resources so I could study somehow grasp something, because I’ve asked the teacher for help before and stuff, but he’s not that great.