Data Secrets: Smart Research for Real Results

Data Secrets helps master’s and PhD students, researchers turn complex data into clear, theoretically grounded insights through smart, empirically driven methods

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Author: Miloš Vilotić

Master in Statistics. Developing R packages and Shiny applications.

Rsample (Part 1) – Bootstrap estimate of a confidence interval for a mean

The [su_label]Rsample[/su_label] package contains functions that allow different types of resampling (e.g. cross-validation, bootstrap, etc.). The data structure in which resampling data is stored is a data frame and is very convenient for further work. You can read more about the [su_label]Rsample[/su_label] package on the…

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Using a recursive function to conditionally aggregate a contingency table

In this post, we will show on a simple example the application of a recursive function. The problem that we want to solve is the following. We have a matrix of dimensions N x M. This can be, for example, a two-dimensional contingency table. Columns…

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About the blog

Data Secrets: Smart Research for Real Results is a space devoted to advancing the understanding of empirical methods, data analysis, and research thinking. It’s designed for master’s and PhD students, researchers, and anyone aiming to refine their approach to data collection and interpretation. The blog seeks to bridge statistical precision with creative inquiry, offering clear insights into best practices, emerging methodologies, and the art of drawing theoretically meaningful conclusions from data.

Recent Posts

  • Research Questions That Actually Work, Part III: How to Write a Good Mixed Methods Research Question
  • Research Questions That Actually Work, Part II: How to Write a Good Qualitative Research Question
  • Research Questions That Actually Work, Part I: How to Write a Good Quantitative Research Question
  • Quick start with R: Improving our regression model (Part 29)
  • Quick start with R: Diagnosing our regression model (Part 28)

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