Imagine regression analysis using Excel, Geogebra, Graph, etc. except it gets done much faster (sciplot-edition)

Get started

NOTE: The program Graph is simply used for testing the results of the regression model & coefficient of determination R^2

RegressionAnalysis_sciplot

Regression analysis program utilizing sciplot to plot the results. Using .txt files as input, the following can be made:

Regression model(s) and coefficient(s) of determination R^2
1. Linear
2. Exponential
3. Logarithmic
4. Power
5. Second-degree polynomium [degree of polynomium adjustablue in code]
Plotting
1. Regression models
2. Residual plot hereof
Other statistical descriptors (x- and y-axis respectively
1. Domain & range; quarters of dataset
2. Average/mean
3. Variance, standard deviation, sample standard deviation
Correlation coefficient r of ONLY linear regression model

RegressionAnalysis_sciplot.cpp imports the following files:

...sciplot-master/sciplot/sciplot.h
[FILENAME].txt

The format of this [FILENAME].txt can be seen with the available example datasets. Compatible data (in the current state of the program) can be boiled down to the following datapoints:

x	y
1	1
1,	1
1.0	1.0
1.0,	1.0
1,0	1,0
1,0,	1,0

NOTE: Do not forget to enter SPACEBAR or TAB in between the x- and y-axis for each line in [FILENAME].txt

PRO TIP regarding datasets from excel, geogebra, graph, etc

DATASET -> CTRL + C
REPOSITORY -> Make/insert .txt file
.txt file -> CTRL + V

You're welcome

To run regressionAnalysis_sciplot.cpp

Install gnuplot

Once this is installed, you'll be able to run the executable attached to the release "1.0 Sciplot-edition"

https://sourceforge.net/projects/gnuplot/

NOTE: Make sure to set {...\gnuplot\bin} as an environment variable

Install sciplot

https://github.com/sciplot/sciplot