Category
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Sub
Category
|
Description
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Open
Source
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Commercial
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Data Management
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Open Dataset
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IBM SPSS (*.sav)
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✔
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✔
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Excel 2003
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✔
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✔
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Excel 2007-2010
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✔
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✔
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Comma separated (*.csv)
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✔
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✔
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DBF (*.DBF)
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✔
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✔
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SAS (*.sas7bdat)
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✔
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✔
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DAT (*.DAT)
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✔
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✔
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Txt (*.txt)
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✔
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✔
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Load Data
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From R package
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✔
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✔
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Database Connectivity
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MSSQL
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✔
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✔
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PostgreSQL
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✔
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✔
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MySQL
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✔
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✔
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MS-Access
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✔
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✔
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Dataset Save formats
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IBM SPSS (*.sav)
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✔
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✔
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Excel 2007-2010
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✔
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✔
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Comma separated (*.CSV)
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✔
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✔
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DBF (*.DBF)
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✔
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✔
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RObj (*.RData)
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✔
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✔
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Data Preparation
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Fully functional data grid
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✔
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✔
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For Variables
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Binning
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✔
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✔
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Compute
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✔
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✔
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Compute, apply a function across all rows
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✔
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✔
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Compute Dummy Variables
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✔
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✔
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Conditional Compute
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✔
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✔
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Conditional Compute, if-then
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✔
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✔
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Conditional Compute, if-then-else
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✔
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✔
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Compute with Switch
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✔
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✔
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Concatenate multiple variabels
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✔
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✔
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Convert to Factors
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✔
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✔
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Date to Character
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✔
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✔
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Character to Date
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✔
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✔
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Dates
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✔
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✔
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Delete variables
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✔
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✔
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Factor Levels
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✔
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✔
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-- Add New Levels
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✔
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✔
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-- Display Levels
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✔
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✔
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-- Drop Unused Levels
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✔
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✔
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-- Label NA as 'Missing'
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✔
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✔
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-- Lumping into 'Other'
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✔
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✔
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-- Reorder by Occurence in Dataset
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✔
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✔
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-- Reorder by One Other Variable
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✔
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✔
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-- Reorder Levels Manually
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✔
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✔
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-- Specify levels to keep or replace by 'Other'
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✔
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✔
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Missing value analysis
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✔
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✔
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-- Remove NAs
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✔
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✔
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-- Numeric
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✔
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✔
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-- Character/Factor
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✔
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✔
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-- Model Imputation
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✔
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✔
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-- Use A Formula
|
✔
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✔
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Rank variables
|
✔
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✔
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Recode
|
✔
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✔
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Standardize
|
✔
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✔
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Transform
|
✔
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✔
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Weight
|
✔
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✔
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For Dataset
|
Aggregate
|
✔
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✔
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Expand
|
✔
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✔
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Merge
|
✔
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✔
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Merge Datasets
|
✔
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✔
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Re-order variables alphabetically
|
✔
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✔
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Reshape
|
✔
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✔
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-- Wider
|
✔
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✔
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-- Longer
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✔
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✔
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Sampling
|
✔
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✔
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-- Sample
|
✔
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✔
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-- Random Split
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✔
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✔
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-- Stratified Split
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✔
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✔
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-- Up Sample
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✔
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✔
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-- Down Sample
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✔
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✔
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Sorting
|
✔
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✔
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-- Reorder Variables
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✔
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✔
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-- Sort
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✔
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✔
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Split
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✔
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✔
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Stack Datasets
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✔
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✔
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Subset
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✔
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✔
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Transpose
|
✔
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✔
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-- Select Variables
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✔
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✔
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-- Entire Dataset
|
✔
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✔
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Descriptive Statistics
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Numerical summary analysis
|
✔
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✔
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Factor variable analysis
|
✔
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✔
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Frequencies
|
✔
|
✔
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Descriptive
|
✔
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✔
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Summary by variable
|
✔
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✔
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Summary (group by multiple variables)
|
✔
|
✔
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Numerical statistical analysis
|
✔
|
✔
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Dataset Comparison
|
✔
|
✔
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Dataset Description
|
✔
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✔
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Analysis
|
Tables
|
Basic
|
✔
|
✔
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Advanced
|
✔
|
✔
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Analysis
|
Missing Values
|
Row Layout
|
✔
|
✔
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Column Layout
|
✔
|
✔
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Survival Analysis
|
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Kaplan-Meier Estimation, compare groups
|
✔
|
✔
|
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Kaplan-Meier Estimation, one group
|
✔
|
✔
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Distribution, Continuous
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Beta Distribution
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Beta Probabilities
|
✔
|
✔
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Beta Quantiles
|
✔
|
✔
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Plot Beta Distribution
|
✔
|
✔
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Sample from Beta Distribution
|
✔
|
✔
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Cauchy Distribution
|
Cauchy Probabilities
|
✔
|
✔
|
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Cauchy Quantiles
|
✔
|
✔
|
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Plot Cauchy Distribution
|
✔
|
✔
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Sample from Cauchy Distribution
|
✔
|
✔
|
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Chi-squared Distribution
|
Chi-squared Probabilities
|
✔
|
✔
|
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Chi-squared Quantiles
|
✔
|
✔
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Plot Chi-squared Distribution
|
✔
|
✔
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Sample from Chi-squared Distribution
|
✔
|
✔
|
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Exponential Distribution
|
Exponential Probabilities
|
✔
|
✔
|
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Exponential Quantiles
|
✔
|
✔
|
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Plot Exponential Quantiles
|
✔
|
✔
|
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Sample from Exponential Distribution
|
✔
|
✔
|
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F Distribution
|
F Probabilities
|
✔
|
✔
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F Quantiles
|
✔
|
✔
|
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Plot F Distribution
|
✔
|
✔
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Sample from F Distribution
|
✔
|
✔
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Gamma Distribution
|
Gamma Probabilities
|
✔
|
✔
|
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Gamma Quantiles
|
✔
|
✔
|
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Plot Gamma Distribution
|
✔
|
✔
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Sample from Gamma Distribution
|
✔
|
✔
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Gumbel Distribution
|
Gumbel Probabilities
|
✔
|
✔
|
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Gumbel Quantiles
|
✔
|
✔
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Plot Gumbel Distribution
|
✔
|
✔
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Sample from Gumbel Distribution
|
✔
|
✔
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Logistic Distribution
|
Logistic Probabilities
|
✔
|
✔
|
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Logistic Quantiles
|
✔
|
✔
|
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Plot Logistic Distribution
|
✔
|
✔
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Sample from Logistic Distribution
|
✔
|
✔
|
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Lognormal Distribution
|
Lognormal Probabilities
|
✔
|
✔
|
|
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Lognormal Quantiles
|
✔
|
✔
|
|
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Plot Lognormal Distribution
|
✔
|
✔
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Sample from Lognormal Distribution
|
✔
|
✔
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Normal Distribution
|
Normal Probabilities
|
✔
|
✔
|
|
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Normal Quantiles
|
✔
|
✔
|
|
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Plot Normal Distribution
|
✔
|
✔
|
|
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Sample from Normal Distribution
|
✔
|
✔
|
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t Distribution
|
t Probabilities
|
✔
|
✔
|
|
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t Quantiles
|
✔
|
✔
|
|
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Plot t Distribution
|
✔
|
✔
|
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Sample from t Distribution
|
✔
|
✔
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Uniform Distribution
|
Uniform Probabilities
|
✔
|
✔
|
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Uniform Quantiles
|
✔
|
✔
|
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Plot Uniform Distribution
|
✔
|
✔
|
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Sample from Uniform Distribution
|
✔
|
✔
|
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Weibull Distribution
|
Weibull Probabilities
|
✔
|
✔
|
|
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Weibull Quantiles
|
✔
|
✔
|
|
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Plot Weibull Distribution
|
✔
|
✔
|
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Sample from Weibull Distribution
|
✔
|
✔
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Distribution, Discrete
|
Binomial Distribution
|
Binomial Probabilities
|
✔
|
✔
|
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Binomial Quantiles
|
✔
|
✔
|
|
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Binomial Tail Probabilities
|
✔
|
✔
|
|
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Plot Binomial Distribution
|
✔
|
✔
|
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Sample from Binomial Distribution
|
✔
|
✔
|
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Geometric Distribution
|
Geometric Probabilities
|
✔
|
✔
|
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Geometric Quantiles
|
✔
|
✔
|
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Geometric Tail Probabilities
|
✔
|
✔
|
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Plot Geometric Distribution
|
✔
|
✔
|
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Sample from Geometric Distribution
|
✔
|
✔
|
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Hypergeometric Distribution
|
Hypergeometric Probabilities
|
✔
|
✔
|
|
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Hypergeometric Quantiles
|
✔
|
✔
|
|
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Hypergeometric Tail Probabilities
|
✔
|
✔
|
|
|
Plot Hypergeometric Distribution
|
✔
|
✔
|
|
|
Sample from Hypergeometric Distribution
|
✔
|
✔
|
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Negative Binomial Distribution
|
Negative Binomial Probabilities
|
✔
|
✔
|
|
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Negative Binomial Quantiles
|
✔
|
✔
|
|
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Negative Binomial Tail Probabilities
|
✔
|
✔
|
|
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Plot Negative Binomial Distribution
|
✔
|
✔
|
|
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Sample from Negative Binomial Distribution
|
✔
|
✔
|
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Poisson Distribution
|
Poisson Probabilities
|
✔
|
✔
|
|
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Poisson Quantiles
|
✔
|
✔
|
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Poisson Tail Probabilities
|
✔
|
✔
|
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Plot Poisson Distribution
|
✔
|
✔
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Sample from Poisson Distribution
|
✔
|
✔
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Graphics and Visualizations
|
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Bar charts
|
✔
|
✔
|
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Boxplots
|
✔
|
✔
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Bulls Eye
|
✔
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✔
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Contour plot
|
✔
|
✔
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2D Contour plot
|
✔
|
✔
|
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Coxcomb
|
✔
|
✔
|
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Density plots
|
✔
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✔
|
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Frequency charts
|
✔
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✔
|
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Heatmap
|
✔
|
✔
|
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Histogram
|
✔
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✔
|
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Line charts
|
✔
|
✔
|
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Maps
|
✔
|
✔
|
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Pie charts
|
✔
|
✔
|
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Plot of means
|
✔
|
✔
|
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P-P plots
|
✔
|
✔
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Q-Q plots
|
✔
|
✔
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Scatterplot
|
✔
|
✔
|
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Stem and leaf plot
|
✔
|
✔
|
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Strip chart
|
✔
|
✔
|
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Two Y Axis
|
✔
|
✔
|
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Violin plot
|
✔
|
✔
|
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Statistical analysis
|
|
Correlation test
|
✔
|
✔
|
|
|
Shapiro-Wilk normality test
|
✔
|
✔
|
|
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Compare means
|
T-Test, Independent samples
|
✔
|
✔
|
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T-Test, One samples
|
✔
|
✔
|
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T-Test, Paired samples
|
✔
|
✔
|
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ANCOVA
|
✔
|
✔
|
|
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ANOVA, N Way
|
✔
|
✔
|
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ANOVA, 1 Way
|
✔
|
✔
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ANOVA, 1 Way, Blocks
|
✔
|
✔
|
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ANOVA, 1 Way, Random Blocks
|
✔
|
✔
|
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ANOVA, 1 and 2 Way
|
✔
|
✔
|
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ANOVA, Repeated Measures, Long
|
✔
|
✔
|
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ANOVA, Repeated Measures, Wide
|
✔
|
✔
|
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MANOVA
|
✔
|
✔
|
|
|
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|
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Proportion test
|
Single sample proportion test
|
✔
|
✔
|
|
|
Single sample exact binomial proportion test
|
✔
|
✔
|
|
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Two sample proportion test
|
✔
|
✔
|
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Variance
|
Two variance F-Test
|
✔
|
✔
|
|
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Possessive
|
Bartlett's test
|
✔
|
✔
|
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Levene's test
|
✔
|
✔
|
|
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Non-parametric test
|
Chi-squared test
|
✔
|
✔
|
|
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Friedman test
|
✔
|
✔
|
|
|
Kruskal-Wallis test
|
✔
|
✔
|
|
|
Wilcoxon test, independent samples
|
✔
|
✔
|
|
|
Wilcoxon test, One sample
|
✔
|
✔
|
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Wilcoxon test, paired samples
|
✔
|
✔
|
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Contingency tables
|
Multiway crosstab
|
✔
|
✔
|
|
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Two-way crosstab
|
✔
|
✔
|
|
|
Odds Ratios, M by 2 table
|
✔
|
✔
|
|
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Relative Risks, M by 2 table
|
✔
|
✔
|
|
|
|
|
|
Agreement analysis
|
|
Bland-Altman Plot
|
✔
|
✔
|
|
|
Cohen's Kappa
|
✔
|
✔
|
|
|
Concordance Correlation Coefficient
|
*
|
✔
|
|
|
Concordance Correlation Coefficient, multiple raters
|
*
|
✔
|
|
|
Diagnostic Testing
|
✔
|
✔
|
|
|
Fleiss' Kappa
|
✔
|
✔
|
|
|
Intraclass Correlation Coefficients
|
✔
|
✔
|
|
|
|
|
|
Factor analysis
|
|
Principal component analysis
|
✔
|
✔
|
|
|
Factor analysis
|
✔
|
✔
|
|
|
|
|
|
Split datasets for analysis
|
|
Split
|
✔
|
✔
|
|
|
Remove split
|
✔
|
✔
|
|
|
|
|
|
Split datastes for modeling
|
|
Random split
|
✔
|
✔
|
|
|
Stratified sampling
|
✔
|
✔
|
|
|
|
|
|
Contrasts
|
|
Contrasts Display
|
✔
|
✔
|
|
|
Contrasts Set
|
✔
|
✔
|
|
|
|
|
|
Linear modeling
|
|
Generalized linear models
|
✔
|
✔
|
|
|
Linear modeling
|
✔
|
✔
|
|
|
Linear regression
|
✔
|
✔
|
|
|
Linear Regression, multiple models
|
*
|
✔
|
|
|
Logistic regression
|
✔
|
✔
|
|
|
Logistic Regression, conditional
|
*
|
✔
|
|
|
Logistic Regression, multiple models
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*
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✔
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Multinomial Logit
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✔
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✔
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Ordinal Regression
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✔
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✔
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Quantile Regression
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*
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✔
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Summarizing models for each group
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✔
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✔
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Model Fitting
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Cox Proportional Hazards Models
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Cox Multiple Models
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*
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✔
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Cox Single Model
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✔
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✔
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Cox With Formula
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✔
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✔
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Model Fitting
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KNN
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✔
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✔
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Predict With KNN
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✔
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✔
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Mixed Models
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Mixed Models, basic
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✔
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✔
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Tree algorithms
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Decision trees
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✔
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✔
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Random forest
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✔
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✔
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Extreme Gradient Boosting
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✔
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✔
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Optimize
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✔
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✔
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Tune
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✔
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✔
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Neural Networks
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Multi-Layer Perceptron
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✔
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✔
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NeuralNets
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✔
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✔
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Probabilistics classifiers
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Naive Bayes
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✔
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✔
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Clustering
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Hierarchical cluster
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✔
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✔
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K-Means cluster
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✔
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✔
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Forecasting
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Automated Arima
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✔
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✔
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Exponential smoothing
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✔
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✔
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Holt-Winters, seasonal
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✔
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✔
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Holt-Winters, Non-seasonal
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✔
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✔
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Plot time series, Separate or Combined
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✔
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✔
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Plot time series, With Correlations
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✔
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✔
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Reliability Analysis
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.
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.
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Cronbach's alpha
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✔
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✔
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McDonald's omega
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✔
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✔
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Model tuning
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Bootstrap resampling
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✔
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✔
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K-fold cross validation
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✔
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✔
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Leave one out cross validation
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✔
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✔
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Repeated K-fold cross validation
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✔
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✔
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Model statistics
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Add Statistics To Dataset
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✔
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✔
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ANOVA & Likelihood Ratio
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✔
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✔
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AIC
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✔
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✔
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BIC
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✔
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✔
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Bonferroni outlier test
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✔
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✔
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Compare Models
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✔
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✔
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Compare N Models
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✔
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✔
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Confidence interval
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✔
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✔
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Hosmer-Lemeshow test
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✔
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✔
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IRT
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✔
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✔
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Pseudo R squared
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✔
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✔
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Outlier Test
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✔
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✔
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Plot a Model
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✔
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✔
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Stepwise
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✔
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✔
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Summarize
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✔
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✔
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-- Model Statistics
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✔
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✔
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-- Parameter Estimates
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✔
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✔
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-- Summarize A Model
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✔
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✔
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-- Summarize N Model
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✔
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✔
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Variance inflation factors
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✔
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✔
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Model scoring
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Pick a model
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✔
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✔
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Score the selected model
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✔
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✔
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Save model
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✔
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✔
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Load model
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✔
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✔
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Reporting
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Custom tables
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✔
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✔
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Export to PDF
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✔
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✔
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Export to Excel
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✔
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✔
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Export to HTML
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✔
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✔
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Export output table to MS-Word as APA table
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✔
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✔
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Market basket
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Generate rules
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✔
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✔
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Item frequency
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✔
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✔
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Targeting items
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✔
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✔
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Display rules
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✔
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✔
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Plot rules
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✔
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✔
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Dialog utilities
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Dialog inspector
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✔
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✔
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Dialog installer
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✔
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✔
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* This dialog can be installed in the Open Source edition using the dialog installer. A maximum of 5 dialogs can be installed in Open Source edition.
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