Statistical analysis made easy
ArDB makes challenging statistical analysis simple with its intuitive offering of statistical tools, including;
- Linear Discriminant Analysis (LDA)
- Principle Component Analysis (PCA)
- K-Means Clustering
- Calculated Columns (R)
- Quality Control Statistics
Multivariate analysis
ArDB makes it straight-forward to perform multivariate analysis on your data including Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) - out of the box.
You can easily visualize scree plots or plot components onto 2D and 3D interactive charts, with a single click.
Once you have built an LDA model you can straight-forwardly submit test samples to it, which result in a classification estimate and score.
Extend with R
ArDB supports the running of custom R scripts that extend its default statistical tools offering, allowing you to truly examine your analytical results in any way you choose.
Extend your data by creating calculated columns, unique to your workspace, which are dynamically populated based on either a custom formula or a referenced R script.
Collate and export
Use in-built filtering and grouping to export your data as XLSX files for use in third-party numerical packages such as Excel or SPSS.