Posts

janitor: Data cleaning made easy! janitor helps you clean up messy data in a flash, with functions to remove special characters, whitespace, and more. Say hello to tidy data!

datapasta: Copy-pasting data just got easier! datapasta lets you seamlessly paste data from spreadsheets or tables directly into your R scripts as data frames or tibbles. It’s a real time-saver!

pacman: Tired of typing install.packages() for each new package you need? pacman is here to save the day! It’s a Swiss Army knife for package management, making installing, loading, and updating packages a breeze!

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Find the number of unique rows based on more than one variable in the data frame.

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Fisher’s exact test

Chi-square test of independence to check if there’s an association between two categorical variables

Correlation Test to assess a possible association between two numeric variables, X and Y: Kendall’s coefficient

Pivot Table

Correlation Test to assess a possible association between two numeric variables, X and Y: Spearman’s coefficient

Correlation Test to assess a possible association between two numeric variables, X and Y: Pearson’s coefficient

Post-hoc multiple comparisons using Tukey test and Dunn’s test in R

The Kruskal-Wallis test is a rank-based non-parametric alternative to the one-way ANOVA and an extension of the Wilcoxon-Mann-Whitney test to allow the comparison of more than two independent groups.

One-way analysis of variance is a statistical test used when we want to compare several means.

Wilcoxon Signed-Rank test (Wilcoxon test): a non-parametric test that can be conducted to compare paired samples when the differences are not normally distributed

A paired t-test is used to estimate whether the means of two related measurements are significantly different from one another

Wilcoxon-Mann-Whitney (WMW) test to compare two independent samples

Two sample t-test (Student’s t-test)

Test the equality of two groups medians and plots violin plot using ggstatsplot library with data points jittered

R and Python comparison for simple spectral processing

Save ggplot2 to pdf

Improving readability of the ggplot2

How to remove y-axis labels in a ggplot chart

How recode the factors in R to give them modified names and order with tidyverse

Map with airports location from csv

find which columns in an R data frame include missing values (NA)

Summary

Create a new hyperspectral object

Convert wide to long with the function pivot_longer (library tidyr)

Functions and default settings for PCA in R

Wordcloud plot to compare two text files.

Exponential decay fitting

Method for importing to R csv matrix from mIRage device

Integral Map with Annotations

Calculating and ploting the histogram of the pixel values extracted from the map. Works for intensites, integrals, ratioes, shifts, etc.

Preparing animated gif showing sequence of spectra from subsequent columns

Data matrix export to txt file

Calculating derivatives with function diff

ggplot2 - setting clean theme for spectra plot

Calculation of derivatives with Savitzy-Golay filter function

Removing Spectra outside selected range

Combining multiple dataframes into one and calculating new variables

knitr, pander and xtable

Variance, skewness, kurtosis and others

Converting 2D plots into pseudo-3D and animations