Statistics – Federica Gazzelloni

Clustering Analysis

Data Analysis

Clustering

Kmeans

library(cluster)
library(factoextra)

cluster_df <- data %>%
  select(
    age,
    lab_hba1c,
    BMI_cat,
    sex,
    SDI) %>%
  drop_na()

# Convert factors to…

Understanding Plain Vanilla - from Scratch

rstats

modeling

machine-learning

artificial-neural-networks

In the world of artificial intelligence, understanding the fundamentals of neural networks is essential. One of the simplest yet powerful architectures is the Artificial…

R-Ladies Events Stats

text-analysis

Let’s scrap the R-Ladies chapters events from Meetup.com We can use the meetupr package.

How does geom_smooth() make predictions

rstats

modeling

linear regression

geom_smooth

Linear regression is a statistical technique used to represent the linear relationship between a response \((y)\) and a predictor \((x)\).

Understanding Simpson’s Paradox: A Simple Explanation

rstats

modeling

Simpson's Paradox is a statistical phenomenon where a trend appears in different groups of data but disappears or reverses when these groups are combined. This paradox…

Bayesian Statistics model comparison

rstats

modeling

bayesian

In this post I’ll go through some differences between Bayesian statistical packages in R. Bayesian statistics involves probabilities. This means that the probability of an…

Predictive modeling

modeling

This post is dedicated to make a comparison between Caret and TidyModels R packages. Data modelling with R pass through data preprocessing and parameters assessments to…

Multiple Hypothesis Testing

Multiple testing, what does it means?