GitHub topics: normality
Angellrdz/repeated-measurement
An R-based workflow for conducting repeated measures ANOVA using the ez package, with data wrangling via tidyverse and visualization through ggplot2. Includes data import, transformation to long format, statistical analysis, and graphical summary.
Language: R - Size: 155 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

stdlib-js/stats-base-ndarray-ztest
Compute a one-sample Z-test for a one-dimensional ndarray.
Language: JavaScript - Size: 1.59 MB - Last synced at: 3 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

stdlib-js/stats-base-ndarray-sztest
Compute a one-sample Z-test for a one-dimensional single-precision floating-point ndarray.
Language: JavaScript - Size: 1.95 MB - Last synced at: 2 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

stdlib-js/stats-base-ndarray-dztest
Compute a one-sample Z-test for a one-dimensional double-precision floating-point ndarray.
Language: JavaScript - Size: 662 KB - Last synced at: 3 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

stdlib-js/stats-base-ndarray-ztest2
Compute a two-sample Z-test for two one-dimensional ndarrays.
Language: JavaScript - Size: 808 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

stdlib-js/stats-base-ndarray-sztest2
Compute a two-sample Z-test for two one-dimensional single-precision floating-point ndarrays.
Language: JavaScript - Size: 811 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

stdlib-js/stats-base-ndarray-dztest2
Compute a two-sample Z-test for two one-dimensional double-precision floating-point ndarrays.
Language: JavaScript - Size: 805 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

waj3dz/stats-base-ndarray-ztest2
Perform two-sample z-tests on NumPy-like ndarrays with stats-base-ndarray-ztest2. Ideal for numerical computation in JavaScript and Node.js. 🐱💻📊
Language: JavaScript - Size: 50.8 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

stdlib-js/stats-strided-ztest
Compute a one-sample Z-test for a strided array.
Language: JavaScript - Size: 678 KB - Last synced at: 3 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

stdlib-js/stats-strided-ztest2
Compute a two-sample Z-test.
Language: JavaScript - Size: 521 KB - Last synced at: 3 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

msikma/denormalize
Library for processing and extracting assets for the 3D/ADV engine
Language: JavaScript - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

johnbrendanowens/Statistical-Testing
This a project I did in the Spring of 2017 for the graduate course of Statistical Computing. This project includes T-Tests, Non-parametric Tests, Linear Regressions, Correlation Tests, Chi Square Tests, and tests for normality. This project also includes some basic graphing.
Language: R - Size: 1.95 KB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

johnbrendanowens/Chi-Square-Tests-Confidence-Intervals-Kolmogorov-Smirnov-Tests-and-Shapiro-Wilk-Normality-Tests
This is a homework I did in the Spring 2017. It involves conducting Chi Square Tests, Confidence Intervals, Kolmogorov-Smirnov Tests, and Shapiro-Wilk Normality Tests. It has problem numbers that are associated to problems in "Using R: Introductory Statistics".
Language: R - Size: 1.95 KB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

guhjy/ngme
Linear Mixed-Effects Models for Non-Gaussian Repeated Measurement Data
Language: C++ - Size: 522 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

guhjy/MultivariateNormalDistribution Fork of lit777/MultivariateNormalDistribution
Language: R - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

guhjy/causalXtreme Fork of nicolagnecco/causalXtreme
An R package for causal discovery in heavy-tailed models
Language: R - Size: 136 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

guhjy/bestNormalize Fork of petersonR/bestNormalize
Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered quantile normalization (ORQ).
Language: R - Size: 616 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

PervezSH/ml-notebooks
A series of Jupyter notebooks, to know about Machine Learning, its implementation, and identifying its best practices.
Language: Jupyter Notebook - Size: 30.3 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

daksh-intwala/Naive-Bayes-Classifier_with_Normality_Tests
Gaussian Navie Bayes Classifier was applied on IRIS dataset. Different types of normality tests were used to introduce the normality concepts.
Language: HTML - Size: 264 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

justincbagley/MissingDataFX
Testing effects of missing data on phylogenetic inferences
Language: Shell - Size: 124 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0
