The model tries to predict the number of sales calls that a maintenance company might be receiving based on climatic and weather conditions. The age of the car and the duration of connection with the company are also to be considered. The model tries to explore the important factors which are significant and help in getting a high accuracy of pr…

Simple-Supervised Factor Analysis

Factor analytics techniques employed in R, including EFA and CFA, to analyze Martin & Doris's (2003) research on the development of a psychometric instrument measuring individual styles of humor.

This is a project I developed during my MSc. in UC3M. It is an R project that engages with commands on data visualisation, PCA, clustering and regression.

Exploring Gene Expression Features through Factor and Cluster Analysis in Breast Cancer Patients.

Segmentation of the clients of an insurance company based on the survey data received from the clients. The data contains variables such as trust, experience, hospitality, service and other such customer based information. The model uses factor analysis to find the most significant factors and then used them for the Hierarchical and K-means clus…

📊 Contains code used to analyze data about HCL-32 instrument (Hypomania Checklist). Functions related to confirmatory factor analysis and internal consistency.

Factor analysis of multi-neuron spike trains in R

Gamma Lasso Sparse Normal and Logistic Factor Analysis

Factor Analysis/ PCA , t- test , hypothesis testing

Factor analysis using R & Spss

Source code written in R to implement multivariate analysis methods. Covering principal component analysist, factor analysist, clustering, manova, and so on.

A package for Bayesian meta-analytic SEM

Psychometric techniques, including functions to analyze dichotomous variables, and applied examples of factor analysis and discriminant analysis. Produced within the classes "Principles and Methods of Measurement" and "Public Opinion", both taught at the University of Chicago in the Spring of 2021.

Multivariate data analysis using R Studio.

first business data analysis - factors affecting student satisfaction and bank clients

Análisis Multivariado I

Statistical properties of entromin as an orthogonal rotation criterion

This was a course project for the course " Multivariate Data Analysis ".