Utilities 0-1 Variables Access Documentation from the: Add Filter Columns Additional Fixed Effects Additional PROC MIXED Statements Additional SAS Data Step Statements Affymetrix Array Type Agilent Array Type Alpha Values Append Input Data Set Append Input SAS Data Set Applied BioSystems Array Type Apply Original Column Names Archive the resolved SAS macro code Archive the SAS code Array Variable Auto clear Base Input Data Set Base Input SAS Data Set By Variables Categorical Variables Channel Variable Check uniqueness of column names Class Variables Codelink Array Type Column Name Variable Column Order Data Set Column Variables Compare Parameters Data Set Compress output data set Compress output data sets Constant to Apply Constants for Each Variance Component Control Levels for Differential Expression Comparisons Corresponding Key Variables from Merge Input Data Set Corresponding Key Variables from Merge Input SAS Data Set Data Columns to be Transposed Data Set Containing LSMeans Differences to Include Data Set of Differences to Include from Comparison Set Data Start Row Data Step Statements Default Annotation Folder Default Input Folder Default Library Folder Default Narrative Template Folder Default Output Folder Default Server Output Directory Default Settings Folder Default Template Name Delete nonmatching rows Delete rows not in Base Input Data Set Delete rows not in Base Input SAS Data Set Delete rows satisfying this expression Delete rows with at least this percentage of Missing values Display Pre-Study Variable Requirements in terms of: Drop numeric variables used to compute statistics Drop Variables Effect Sizes Enable access to SAS Drug Development study data Experimental Design Data Set Experimental Design SAS Data Set File Containing Estimate Statements File Filter Expression File Type Files to Import Filter to Include Observations Filter to Include Observations (1) Filter to Include Observations (2) Filter to Include Observations (3) Filter to Include Observations (4) Filter to Include Tall Rows (and the corresponding Wide Variables) Filter to Keep Observations First Folder of Data Sets to Compare Fixed Effects Fixed Effects for Differential Expression Folder of Non-UTF-8 Files Folder for UTF-8 Files after Converting Folder of Raw Files Force Append Format Frequency Variable Gene/Protein Identifier Hide reports with unsatisfied study requirements from Starter Hide unchosen dialog options from requirements report Hide unsatisfying studies from report dialogs ID Variables Illumina Array Type Include Include observations that meet: Ingenuity Knowledge Base Ingenuity Server Input Data Set Input Data Step Statements Input SAS Data Set Input Tall Data Set Input Wide Data Set IPA Entry Point IPA Project Name JMP Script Output File Name Keep labels Key Variables from Base Input Data Set Key Variables from Base Input SAS Data Set List of Variable Names and Lengths List of Variable Names and Types List-Style Specification of Data Columns to Be Transposed List-Style Specification of Numeric Variables List-Style Specification of Transpose Variables List-Style Specification of Variables to Be Standardized List-Style Specification of Variables to Be Summarized List-Style Specification of Variables to Be Transformed List-Style Specification of Variables to Reorder List-Style Specification of Wide Variables Corresponding to Tall Rows LSMeans Control Levels LSMeans Difference Set LSMeans Effects Match case for key variables Maximum Column Length Maximum Length for All Other (Unselected) Variables Merge Input Data Set Merge Input SAS Data Set Merge Key Variables Merge Key Variables (Venn Diagram - Multiple Tables) Merge Key Variables to Associate with Input SAS Data Set Metadata Server Name Method for Handling Ties Minimize lengths of selected variables Minimum Number of Columns to Scan Multipliers of Design Size Name Name of Response Variable Name of this Settings Profile New Label Specifications New Length for Selected Variables New Variable Names Number of Columns to Use in Subset Number of Groups for Rank Method GROUPS Number of Rows to Scan Numeric Variables over Which to Compute Row Statistics Numerical Parameter for Advanced Standardization Methods Output Data Set Output Data Set for Graphs Output Data Set Name Output Data Step Statements Output Experimental Design Data Set Output Experimental Design Data Set Name Output File Output File Name Output Folder Output Stack Data Set Output Statistics Data Set Output Tall Data Set Output Wide Data Set Password Percentile to Compute for PCTL Statistic Percentile to Impute Perform log2 transform after standardization Platform Port Number Prefix Prefix for Column Names in Tall Data Set Prefix for Output Data Set Names Prefix for Tall Column Names Prefix for Wide Column Names Pre-SET Data Step Statements Pre-SET Output Data Step Statements Print Options PROC MIXED Options Prompt about closing all associated graphics and tables when closing tabbed reports Proportional Areas Proportional Surrounding Area (applies only for 1-way, 2-way, and 3-way diagrams) Proxy Port Number Proxy Server Name Random Effects Random Number Seed Rank Method Rank Order Rank Variables Remove labels from these variables Remove rows with duplicate values of Sort Variables Remove variables not found Replace value of counts with proportion of total counts Repository Name Response Variable Row Number of Variable Names Row Variables SAS Code for Transformation SAS Data Set Folder SAS Drug Development Server URL SAS File Folder Save and Restore Current Row States Second Folder of Data Sets to Compare Select Select Columns Select Comparison Set for Differential Expression Tests Select Missing Server Output Directory Set negative values to Missing before imputing Shared Grid Folder (UNC path recommended) Shared Grid Folder - Client Version Shared Grid Folder - Server Version Shifting Factor Show Show Starter Customization buttons Show Variable Requirements and Usage link on report dialogs Sort Sort Variables Specify a name for the 0-1 column Specify up to 20 IPA observations to upload Standardization Method Standardization Statistics Input SAS Data Set Standardize Starting Values for 3-Way Optimization Statistic to Compute Statistic to Impute Statistics to Compute Study Subset Data Set to Use for Normalization Summary Statistic to Compute for Each Variable Tall SAS Data Set Transform Expression Transport File Folder Transport File Name Transpose Variables Transposed Output Data Set Type Type of Transformation Use a subset of columns Use Only Selected Rows when Comparing Tables User Name Variable Containing Current Column Names Variable Containing Names of Wide Variables Variable Containing New Column Names Variable to Identify Individual Probe Set Variables By Which to Summarize Variables Defining Groups Variables Defining Tall Column Names Variables Defining Wide Column Names Variables to Be Standardized Variables to Be Summarized Variables to Be Transformed Variables to Drop Variables to Exclude from the Output Stack Data Set Variables to Include in the Imputation Process Variables to Keep in Output Data Set Variables to Reorder Variables to Retain in Output Data Set Variables Whose Length is to be Changed Version of SDD instance: Weight Variable Wide SAS Data Set Wide Variables Corresponding to Tall Rows