NCSS 2022 統計分析軟體 | 新永資訊有限公司

NCSS 2022 統計分析軟體

NCSS 2022 統計分析軟體

  • NCSS 2022 統計分析軟體
  • 編號
  • 類別
    統計分析軟體
  • 介紹
    NCSS 軟件提供了一個完整且易於使用的數百種統計和圖形工具集合,用於分析和可視化您的數據。 用於數據分析的 NCSS 軟件帶有完整的集成文檔、免費培訓視頻以及來自Phd統計人員團隊的完整電話和電子郵件支持。 探索全球數以千計的研究人員、顧問、專業人士、工程師和科學家正在使用的產品。
  • 價格

NCSS 2022 Statistical Analysis Software

New Procedures in NCSS 2022
Violin Plots 

Violin Plots.
Violin Plots (2 Factors).

Group-Sequential Tests (Efficacy/Futility Boundary Options, Sample Size Re-estimation)
For each of these group-sequential analysis and sample-size re-estimation procedures, there are corresponding group-sequential power and sample size procedures in PASS 2022.
Group-Sequential Non-Inferiority Analysis for One Mean with Known Variance.
Group-Sequential Superiority by a Margin Analysis for One Mean with Known Variance.
Group-Sequential Non-Inferiority T-Tests for One Mean.
Group-Sequential Superiority by a Margin T-Tests for One Mean.
Group-Sequential Analysis for One Proportion.
Group-Sequential Non-Inferiority Analysis for One Proportion.
Group-Sequential Superiority by a Margin Analysis for One Proportion.

Updated and/or Improved Procedures in NCSS 2021 
These procedures have been updated to improve functionality and flexibility.
Random Seed
For all procedures that utilize random number generation, a Random Seed option was added, to obtain output reproducibility.
Line Charts Added to Several Procedures
For each of these procedures, the option to produce line charts was added.
Frequency Tables.
Contingency Tables.
Descriptive Statistics – Summary Tables.
Descriptive Statistics – Summary Lists.
Cochran’s Q.
Two Proportions.
Two Proportions – Non-Inferiority Tests.
Two Proportions – Superiority by a Margin Tests.
Two Proportions – Two-Sided Tests vs. a Margin.
Two Proportions – Equivalence Tests.
Two Correlated Proportions (McNemar Test).
Two Correlated Proportions – Superiority by a Margin Tests.
Two Correlated Proportions – Equivalence Tests.
Two Correlated Proportions – Non-Inferiority Tests.
Comparables Appraisal.
Cluster Randomization – Create Cluster Means Dataset.
Cluster Randomization – Create Cluster Proportions Dataset.
Cluster Randomization – Create Cluster Rates Dataset.
Label Sorting and Improved Data Orientation Options 
The ability to order the labels was added, as well as an improved data orientation option, for the following procedures. 
4 Bar Charts procedures.
4 Line Charts procedures.
Pie Charts.

Overall Regression Line 
The ability to add an overall regression line was added to the following procedures. 
Scatter Plots.
Scatter Plots with Error Bars.
Bland-Altman Plots.

Residual Normality Tests 
he following Normality tests of the residuals were added to the One-Way ANOVA procedure. 
Shapiro-Wilk.
Anderson-Darling.

Exact Binomial McNemar Test 
The Exact Binomial McNemar Test was added to the Two Correlated Proportions (McNemar Test) procedure.
Machine Zero in Mixed Models Procedures 
The Mixed Models procedures were updated to allow the local
setting of the machine zero, so that the local machine zero can
override the global machine zero. This allows local control of the machine zero when attempting to obtain model convergence.

Enhancements 
Variable Labels and Value Labels 

A much-improved system for the use of variable labels and value labels was implemented system-wide.
Report Auto-sizing 
A program-wide auto-sizing of report columns was integrated, giving improved column spacing in reports.
Group By System 
The new Group By system allows any analysis to be run independently for each value of the designated Group By column(s).
Group By System Setup Example.
Group By System Result Example.

With the Group By system active, a separate run is made for each level of Iris.
Data Fill Tool 
The Data Fill tool was updated to save the current settings when the window is closed.
Window Access Improvements 
Improved access to various controls is given for the following
scenarios.
 
Filter and Group By controls were added to the Procedure
Window.
Report Options Dropdown was added to the Procedure
Window toolbar.
Filter Dropdown was added to the Procedure Window toolbar.
Group By Dropdown was added to the Procedure Window
toolbar.
Transformation Dropdown was added to the Data Window
toolbar.
Output/Gallery Window menu and toolbar were updated.

Window Loading Time 
Some optimization techniques were employed to improve the loading time of various windows.

 

系統需求 

OS: 
Windows 10 or later
Windows 8.1
Windows 8
Windows 7
Windows Vista with Service Pack 2 or higher
Windows Server 2016 or later
Windows Server 2012 R2
Windows Server 2012
Windows Server 2008 SP2/R2

Privileges:
Administrative rights required during installation only
Third Party Software:
Microsoft .NET 4.6 (Comes pre-installed with Windows 10 or later and Windows Server
2016 or later. Installation required on Windows 8.1 or earlier and Windows Server
2012 R2 or earlier. For systems where .NET 4.6 installation is required, a .NET 4.6
download helper will start automatically when you run the NCSS setup file.)
Microsoft Windows Installer 3.1 or higher
Adobe Reader® 7 or higher (required for the Help System only)
HD:
350 MB for NCSS (plus space for Microsoft .NET 4.6 if not already installed)
Printer:
Any Windows-compatible inkjet or laser printer
 

NCSS 2022 統計分析軟體

NCSS 2022 中的新程序 
小提琴圖 

小提琴圖。
小提琴情節(2因素)。

組序檢驗(功效/效用邊界選項,樣本量重新估計)
對於這些組序列分析和样本量重估程序中的每一個,PASS 2022 中都有相應的組序列功效和样本量程序。
已知方差的一個均值的組序非劣性分析。
具有已知方差的一個均值的邊際分析的組序列優勢。
一個均值的組序非劣性 T 檢驗。
一個均值的邊際 T 檢驗的組序貫優勢。
一個比例的組序分析。
一個比例的組序非劣性分析。
一個比例的邊際分析的組序列優勢。

NCSS 2022 中更新和/或改進的程序 
這些程序已更新以改進功能和靈活性。
隨機種子
對於使用隨機數生成的所有程序,添加了隨機種子選項,以獲得輸出可重複性。
添加到多個程序的折線圖
對於這些過程中的每一個,都添加了生成折線圖的選項。
頻率表
應急表
描述性統計 - 匯總表
描述性統計 - 匯總列表
科克倫的 Q
兩個比例
兩個比例——非劣效性檢驗
兩個比例 – 保證金測試的優勢
兩個比例 - 兩側測試與邊距
兩個比例——等效性檢驗
兩個相關比例(McNemar 檢驗)
兩個相關的比例——保證金測試的優勢
兩個相關的比例——等效性檢驗
兩個相關的比例——非劣效性檢驗
評估比較
聚類隨機化——創建聚類均值數據集
集群隨機化——創建集群比例數據集
集群隨機化——創建集群率數據集
標籤排序和改進的數據方向選項 
為以下過程添加了對標籤進行排序的功能,以及改進的數據方向選項。 
4 條形圖程序。
4 折線圖程序。
餅狀圖。

整體回歸線 
添加整體回歸線的功能已添加到以下過程中。 
散點圖。
帶有誤差條的散點圖。
Bland-Altman 圖。

殘差正態性檢驗 
將殘差的以下正態性檢驗添加到單向方差分析程序中。 
夏皮羅-威爾克
安德森-達林

精確二項式 McNemar 檢驗 
精確二項式 McNemar 檢驗已添加到兩個相關比例 (McNemar 檢驗) 程序中。
混合模型程序中的機器歸零 
混合模型程序已更新以允許機器零的本地設置,以便本地機器零可以覆蓋全局機器零。這允許在嘗試獲得模型收斂時對機器零進行本地控制。
增強功能 
變量標籤和值標籤 

在系統範圍內實施了一個大大改進的使用變量標籤和值標籤的系統。
報告自動調整大小 
集成了報告列的程序範圍自動調整大小,從而改進了報告中的列間距。
按系統分組 
新的分組依據系統允許對指定的分組依據列的每個值獨立運行任何分析。
按系統設置示例分組。
按系統結果示例分組。

當 Group By 系統處於活動狀態時,會對 Iris 的每個級別進行單獨的運行。
數據填充工具 
數據填充工具已更新,可在窗口關閉時保存當前設置。
窗口訪問改進 
針對以下場景提供了對各種控件的改進訪問。 
過濾器和分組依據控件已添加到程序窗口。
報告選項下拉菜單已添加到程序窗口工具欄。
過濾器下拉菜單已添加到程序窗口工具欄。
Group By Dropdown 被添加到程序窗口工具欄。
轉換下拉菜單已添加到數據窗口工具欄。
輸出/畫廊窗口菜單和工具欄已更新。

窗口加載時間 
一些優化技術被用來改善各種窗口的加載時間。

 

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