新程序(New Procedures)
新增如下程序和測試:
- Box-Cox Transformation
- Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
- Box-Cox Transformation for Simple Linear Regression
- Point-Biserial and Biserial Correlations
- Cochran’s Q Test with Multiple Comparisons
- Michaelis-Menten Equation
- Bland-Altman Plot and Analysis
- Deming Regression
- Harmonic Regression
- 3D Bar Charts
- 3D Bar Charts (2 Factors)
- 3D Line Charts
- 3D Line Charts (2 Factors)
- 3D Scatter Plots (Revised) – Regression Surfaces Added
- Grubbs’ Outlier Test
- Paired T-Test for Equivalence
- Paired T-Test for Non-Inferiority
- Testing Non-Inferiority with Two Independent Samples
- Testing Equivalence with Two Independent Samples
- Stem-and-Leaf Plots
- Back-to-Back Stem-and-Leaf Plots
- X-bar and R Charts
- X-bar and s Charts
- X-bar Charts
- R Charts
- s Charts
- CUSUM Charts
- Moving Average Charts
- EWMA Charts
- Individuals and Moving Range (I-MR) Charts
- P Charts
- NP Charts
- C Charts
- U Charts
- Capability Analysis
- Normality Tests
- Two Proportions (Revised) – Data Input Enhanced
- Two Proportions – Non-Inferiority Tests
- Two Proportions – Superiority Tests
- Two Proportions – Two-Sided Tests vs. a Margin
- Two Proportions – Equivalence Tests
- Two Correlated Proportions (McNemar Test) (Revised) – Data Input Enhanced
- Two Correlated Proportions – Superiority Tests
- Two Correlated Proportions – Equivalence Tests
- Two Correlated Proportions – Non-Inferiority Tests
- Contingency Tables (Revised) – Data Input Enhanced with New Summary Table Input Option
- Cochran-Armitage Proportion Trend Test (in Contingency Tables)
- Gray’s Test for Comparing Groups (in Cumulative Incidence)
- Pepe and Mori’s Test for Comparing Groups (in Cumulative Incidence)
- Lag Plots
- Analysis of Runs including Wald-Wolfowitz and Other Runs Tests for Randomness
- Normal Probability Plots
- Weibull Probability Plots
- Uniform Probability Plots
- Exponential Probability Plots
- Gamma Probability Plots
- Chi-Square Probability Plots
- Half-Normal Probability Plots
- Log-Normal Probability Plots
- Probability Plot Comparison
- Reference Intervals with a Covariate
- One-Way ANOVA (Revised) – 3 New Normality Tests
- One-Way ANOVA (Revised) – Welch’s Unequal Variance Test
- One-Way ANOVA (Revised) – Sample Group Standard Deviations
新的繪圖示例:
- Michaelis-Menten Equation Plot





- Box-Cox Transformation Plot




- Model from Harmonic Regression

NCSS 10新功能
64-bit選項
With the 32-bit version of NCSS, analysis of datasets with greater than 25 million cells can result in memory errors. The 64-bit version of NCSS 10 increases this limit by many, many times, so that the analysis limits are only those imposed by the amount of memory on the computer. The purchase of NCSS 10 gives you access to both the 32-bit and 64-bit versions.
數據疊加和Unstacking工具的增強
NCSS 10 includes improved tools for stacking and unstacking data. New options in the stack data tool allow you to automatically rename output columns and include label columns in the stacking process so that information about each observation is maintained in the stacked data. The new data unstacking tool also allows you to include label variables and automatically renames output columns. It also allows you to unstack data using a grouping column, which provides greater flexibility in data processing.
新的可變反差工具
NCSS 10 includes an all-new data tool to help you create a set of contrasts or binary indicator variables from categorical data columns. These new variables are stored right on the data table.
新的轉換方法
NCSS 10 includes new date-variable processing transformations that allow you to work directly with Date-Time values without having to first translate them to Julian dates before extracting Month, Day, Year, etc. from the date values. NCSS 10 also includes a new transformation to convert Julian dates to Date-Time values and Date-Time values to Julian dates.
過濾器的復制
NCSS 10 includes a new data copy function that only copies values from rows that pass the filter.
標簽:
統計分析圖形處理
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