LabPlot: post-v2.12 new features and development news

Development
1

A list of all new features of the development branch added after the 2.12 release of LabPlot

2

Actions management

Now you can modify every toolbar with the actions you need

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3

Axes ticks algorithm

Create more appropriate ticks which are not forced to stick to the minimum and maximum. So the tick label values look much cleaner and the interactive mode looks more intuitive

4

Inset Plots

Insert a plot in another plot

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5

Save and Load custom fit functions

Allow to save and load custom defined functions used as fit model or spreadsheet generate data.

6

Implement Statistical Hypothesis Tests

Statistical Tests Introduced

  1. Mann-Whitney U Test
  • A non-parametric test used to assess whether two independent samples come from the same distribution.
  • Useful when data does not meet the assumptions required for the t-test.
  1. One-Way ANOVA
  • A parametric test comparing the means of three or more groups to determine if there is a statistically significant difference between them.
  • Widely used in experiments with multiple group comparisons.
  1. Kruskal-Wallis Test
  • A non-parametric test for comparing more than two groups to determine whether they come from the same distribution.
  • Serves as an alternative to the One-Way ANOVA for non-normally distributed data.
  1. Log-Rank Test
  • A statistical test used to compare the survival distributions of two groups.
  • Common in medical research and clinical trials for time-to-event analysis.
  1. Independent Student t-Test (New)
  • A parametric test comparing the means of two independent groups to determine if they are significantly different.
  1. One-Sample Student t-Test (New)
  • A parametric test used to compare the mean of a single sample to a known value or population mean.

These functions empower researchers and analysts with tools for parametric, non-parametric, and survival analysis, making the toolkit robust across a wide range of statistical scenarios.

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