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Plot Means, Interactions and ANOVA Diagnostics
This shows the output of plotting functions from the package rwf for visualising group means, interactions, and ANOVA model diagnostics. The plots accompany ANOVA results: they show what the model found (means plots, interaction plots) and whether its assumptions hold (diagnostic plots).
GLM IRT Unidimensional
This shows the output of a from-scratch, base-R implementation of unidimensional IRT from the package rwf. The functions compute the item response function with optional guessing and inattentiveness parameters (compute_unidimensional_theta), item and test information for the 1PL, 2PL and 3PL models (compute_info_1pl, compute_info_2pl, compute_info_3pl), standard errors (compute_se_theta), and Maximum Likelihood ability estimates with a Newton-Raphson routine (compute_unidimensional_ability).
GLM Linear Regression
This shows the output of linear regression functions from the package rwf. The functions cover scatterplot visualisation and full regression reporting for both simple and multiple regression models.
HW03 Financial Database management
All company data from TEJPRO
NLP
This shows the output of functions from the package rwf that may be used in Natural Language Processing (NLP). The functions clean text, remove stopwords, tag parts of speech, compute text similarity between documents, and calculate word and character statistics.
GLM RELIABILITY
This shows the output of reliability and validity functions from the package rwf. The functions include Cronbach’s alpha and its item-level diagnostics, a Multitrait-Multimethod (MTMM) matrix for convergent and discriminant validity, and variance-components-based reliability (Shrout-Fleiss) for person × item × time measurement designs.
GLM SEM
This shows the output of Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) functions from the package rwf. The functions include a path diagram plotter that does not need semPlot, a full CFA report (fit indices, parameter estimates, modification indices, predicted scores), and a sample-size planning simulation that tracks how model fit changes as sample size grows.
Lab 1 Anàlisi de Dades
Recull dels exemples i exercicis del lab 1