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| __TOC__
| | ==Changes and Bug Fixes in Version 8.6.1== |
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| =Introduction= | | {| {{table}} |
| Batch Statistical Process Control (BSPC) is the analysis of process data where the process is subdivided into "batches" (experiments) and may be further subdivided into "Steps" (sub-divisions of batch indicating processing segments or other division of batches). Raw data is presumed to be in a 2 dimensional dataset with Variables as columns.
| | | align="center" style="background:#f0f0f0;"|'''File''' |
| | | align="center" style="background:#f0f0f0;"|'''Comment''' |
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| [[Image:bspc_data_config.png|200px|Data Configuration]]
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| ===Model Types=== | | |----valign="top" |
| | |'''Variable Selection''' |
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| | * Fixes for using variable selections with more than one window open. |
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| {| class="wikitable" border="1"
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| |+ BSPC Model Types
| | |'''Context Menus''' |
| ! Model !! Modes (Dimensions) !! Equal Length Batches !! Steps Aligned !! Comments
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| |- | | * Fixes for context menu positioning high DPI systems. |
| | Summary PCA || 2 || No || No || Orientation = batches x (step/summary)
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| | Batch Maturity || 2 || No || No || Can have Y-Block to indicate maturity
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| | MPCA || 3 || Yes || Yes || | |
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| | PARAFAC || 3 || Yes || Yes ||
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| | Summary PARAFAC || 3 || No || No || Orientation = batches x step x summary
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| | PARAFAC2 || 3 || No || No ||
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| |}
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| =Batch Processor Window=
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| The goal of the Batch Processor interface is to make it easier to assemble “batch” data for multivariate analysis. Because different analyses and conditions require different data manipulation, assembling data for batch analysis can be very difficult and [[media:Bspc_diagram_roadmap.png | complicated]].
| | |----valign="top" |
| | |'''[[asca]]''' |
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| | * Update ssq_tot calculation for using included samples only. |
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| [[Image:BSPCGUI main.png| BSPC GUI]] | | |----valign="top" |
| | |'''[[dendrogram]]''' |
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| | * User can now choose to add the created cluster class to the x-block instead of only being allowed to overwrite an existing class. |
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| The workflow of the interface flows from left to right. Loading data and choosing an Analysis Type will enable relevant tabs. Clicking the '''Next''' button will open the next enabled tab. Batches and steps are defined then alignment and summary information is added. When finished, "folded" data can be saved or exported to the [[Analysis GUI|analysis]] interface and or a model for folding new data can be saved.
| | |----valign="top" |
| | |'''[[estimatefactors]]''' |
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| | * Add check to avoid columns which have NaN std dev. |
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| ==Start== | | |----valign="top" |
| Load, append, edit, and or clear data. Selecting the Analysis type will automatically enable/disable relevant tabs.
| | |'''[[matchrows]]''' |
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| | * Add option for requiring unique labels. |
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| * Dropping data onto the status area will load data. If previously loaded data exists, a prompt for overwrite or augment will appear.
| | |----valign="top" |
| ** If augment is chosen, two options will be given, augment as new batch or not. Augment as new batch adds a class for the data being augmented otherwise a "normal" augment will occur and if the new dataset has a matching class it will be merged.
| | |'''[[splitcaltest]]''' |
| * Dragging and dropping multiple-selected (Excel) files from the system browser (e.g., Windows Explorer or Finder) will pre-augment the files and create a label indicating file name. This label can be used to identify batches in the '''Batches''' tab.
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| * Data can be edited in the [[DataSet Editor]] by clicking the '''Edit''' button. Editing will cause the model to be cleared.
| | * Fix bug if replicates classset was not first classset. |
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| ==Batch== | | |----valign="top" |
| Indicate source of Batch information in loaded dataset. Sources can be Class, Label, or Axisscale sets or a single Variable (column). If manually Loaded then a class is created. If the dataset contains a class with the default name of "BSPC Batch" then it will be automatically selected after loading.
| | |'''[[xlsreadr]]''' |
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| * If variable is used, data for that column will be excluded (not deleted) so other mechanisms (preprocessing) can work.
| | * Update to avoid using 'basic' mode to better handle date conversion from Excel to Matlab. |
| * Once Batches have been identified, one or more batches can be plotted in the lower plot.
| | |---- |
| | | |} |
| ==Steps==
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| Steps (subdivisions of batches) can be indicated on the '''Steps''' tab. Steps can be created in the same manor as '''Batches''' or indicated manually.
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| ===Manually Selecting Steps===
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| [[Image:bspc_manual_select.png|500px|Manual Selection Interface]] | |
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| To manually select steps:
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| # Select the variable and batch to use from the plot list boxes at the bottom of the interface.
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| # Click the '''Select''' button and the interface will switch.
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| # Click the '''Add''' button to place the first step marker.
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| # Drag this marker to the first step location.
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| # Repeat until all steps are placed.
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| # Select different batch from list menu to display "aligned" step position.
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| # Adjust alignment algorithm as needed using toolbar button.
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| # Click check-mark button to finish and save steps.
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| ===Selected Steps Menu===
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| [[Image:bspc_selected_steps.png|300px|]]
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| Once steps have been designated, they will appear the '''Step Selection''' list. If one or more steps should be ignored they can be deselected in this menu. Selected steps will appear in the batch plot as solid green lines and unselected steps appear as red dashed lines.
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| ==Align==
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| Methods that require equal length batches use the tools available on the '''Align''' tab from the [[batchalign]] function.
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| [[Image:bspc_align_settings.png|Align Settings ]]
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| NOTE: In the image above, the alignment batch is Class 0 (the default) which has no members. This must be changed before alignment will work.
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| # Select the type of alignment.
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| # Select the Batch and Variable or Load a vector.
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| # Select COW settings if using COW.
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| # Click Update Plot to see the results.
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| Alignment Types:
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| * '''Linear''' - Linear interpolation based on selected variable and batch.
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| * '''COW''' - [[cow|Correlation Optimized Warping]] with Alignment Settings values.
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| * '''Pad With NaN''' - Infill with NaN to make equal length.
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| Plots switch to displaying selected variables and batches pre aligned on top and post align on bottom. Must click '''Update Plots''' button to refresh plot.
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| ==Summarize==
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| Available summary statistics as calculated by [[summary]] function.
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| [[Image:Bspc_summarize.png|Summary Options]]
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| All stats summarize each column except for:
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| * '''Length''' Length of steps, single number.
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| * '''Five-Number Summary''' 10, 25, 50, 75, 90th percentile, 5 values per step.
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| For example with the [[Demonstration_Datasets | Dupont]] demo calibration data (dupont_cal), if you choose mean, std, slope, skewness, and length the size of your folded summary pca data will be:
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| 10 variables x 4 stats + length = 41 values per step * 5 steps = 205 columns
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| ==Finish==
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| When completed there are 4 options:
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| * Send data directly to a new [[Analaysis]] window.
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| * Save the data to the workspace.
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| * Save a model for future data application. NOTE: In some more complicated instances (loading outside information) the model may not be able to fully capture each step taken in the interface.
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| * Cancel and close the window.
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