### Install IsoplotR GUI Package

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Install the IsoplotRgui package from CRAN to run the browser-based graphical user interface.

```R
install.packages('IsoplotRgui')
```

--------------------------------

### Install IsoplotR Package from CRAN

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Install the core IsoplotR package from the Comprehensive R Archive Network (CRAN).

```R
install.packages('IsoplotR')
```

--------------------------------

### Run IsoplotR GUI

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Load the IsoplotRgui library and launch the graphical user interface. This will open a new tab in your internet browser.

```R
library(IsoplotRgui)
IsoplotR()
```

--------------------------------

### Kernel Density Estimate (KDE)

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Generates a Kernel Density Estimate plot from provided data, with an option to include a rug plot for individual data points.

```R
# Kernel Density Estimate:
kde(densdat,rug=TRUE)
```

--------------------------------

### U-Series Age vs. Initial 234U/238U Diagram

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Generates a U-series evolution diagram transformed to show age versus initial 234U/238U. It includes detrital data, colored ellipses, and isochron lines.

```R
# U-series age vs. initial 234U/238U diagram:
evolution(ThU,transform=TRUE,detrital=TRUE,  
ellipse.col=rgb(1,0,0,0.2),  
show.numbers=TRUE,isochron=TRUE)
```

--------------------------------

### U-Series Evolution Diagram

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Plots the U-series evolution of a sample, showing the evolution line and data points. The levels are set by the 238U/232Th ratio.

```R
# U-series evolution diagram:
ThU <- read.data('ThU1.csv',method='Th-U',format=1)
evolution(ThU,levels=ThU$x[,'U238Th232'],
          clabel=expression(paste(""^"238","U/"^"232","Th")))
```

--------------------------------

### Concordia Diagram with Common Pb Correction

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Generates a Concordia diagram for U-Pb data, applying common lead correction and showing the concordia age. External uncertainties are included.

```R
# Concordia diagram of common-Pb corrected data with concordia age:
UPb <- read.data('UPb6.csv',method='U-Pb',format=6)
concordia(UPb,common.Pb=2,show.age=1,exterr=TRUE)
```

--------------------------------

### Logratio Plot of U-Th-Sm-He Data

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Creates a logratio plot for U-Th-Sm-He data, with levels defined by the logarithm of Sm concentration. Includes a color label for Sm.

```R
# Logratio plot of U-Th-Sm-He data:
UThSmHe <- read.data('UThSmHe.csv',method='U-Th-He')
helioplot(UThSmHe,model=3,  
          levels=log10(UThSmHe[,'Sm']),  
          clabel=expression("log[Sm]"))
```

--------------------------------

### 40Ar/39Ar Release Spectrum

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Reads 40Ar/39Ar data and generates an age spectrum plot. This is used to analyze gas release patterns during heating experiments.

```R
# 40Ar/39Ar release spectrum:
ArAr <- read.data('ArAr3.csv',method='Ar-Ar',format=3)
agespectrum(ArAr)
```

--------------------------------

### Configure MDS for Detrital Ages in R

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Use this function to perform Multidimensional Scaling (MDS) on detrital age data. Ensure your data is read correctly using the 'read.data' function.

```r
DZ <- read.data('DZ.csv',method='detritals')
mds(DZ)
```

--------------------------------

### Stop IsoplotR GUI

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Command to stop the IsoplotR graphical user interface.

```R
stopIsoplotR()
```

--------------------------------

### Radial Plot with Minimum Age Estimate

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Creates a radial plot for mixture data, including a minimum age estimate. The background color is set to yellow.

```R
# Radial plot with minimum age estimate:
mixture <- read.data('LudwigMixture.csv',method='other')
radialplot(mixture,k='min',bg='yellow')
```

--------------------------------

### Rb-Sr Isochron Analysis

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Reads Rb-Sr data from a CSV file and generates an isochron plot. Ensure the data file is in the correct format.

```R
# load the IsoplotR package:
library(IsoplotR)

# navigate to the system directory that stores the built-in data files:  
setwd(system.file(package='IsoplotR'))

# Rb-Sr isochron:
RbSr <- read.data('RbSr1.csv',method='Rb-Sr',format=1)
isochron(RbSr)
```

--------------------------------

### Ternary Diagram of U-Th-Sm-He Data

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Generates a ternary diagram for U-Th-Sm-He data using model 1. The plot uses non-logratio coordinates and a light blue ellipse color.

```R
# Ternary diagram of U-Th-Sm-He data: 
helioplot(UThSmHe,model=1,logratio=FALSE,ellipse.col='lightblue')
```

--------------------------------

### Cumulative Age Distribution (CAD)

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Reads data for age distribution and generates a Cumulative Age Distribution plot. This function is suitable for datasets where age is the primary variable.

```R
# Cumulative Age Distribution:
densdat <- read.data('LudwigKDE.csv',method='other')
cad(densdat)
```

--------------------------------

### Weighted Mean Plot

Source: https://isoplotr.es.ucl.ac.uk/home/index.html

Reads data for a weighted mean calculation and generates a weighted mean plot. This is useful for averaging multiple measurements.

```R
# Weighted mean plot:
meandat <- read.data('LudwigMean.csv',method='other')
weightedmean(meandat)
```

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