ThermoFisher.CommonCore.Regression

Exception in analysis code. There are generated for a number of causes, especially with calibration curves. If an exception is thrown when creating or using an analysis library object, then the Created object or result cannot be used.

Initializes a new instance of the class. Basic analysis exception, no specified reason.

Initializes a new instance of the class. Exception, with reason as text, which application can display or log

Reason for exception

Initializes a new instance of the class. Exception, with reason as text, which application can display or log

Reason for exception Trapped inner exception

Initializes a new instance of the class. Construct an exception, with serialization.

Data to serialize this object Stream for serializing

This class calculates the simple average (sum of items divided by the number of items) and weighted average ("sum of previous items, plus new item"/2) of a set of double values

Gets or sets the current simple average

Gets or sets the current weighted average

Gets or sets the number of points which have been averaged

Add a new value to the average

value to to be added

Add a collection of points

The collection to add

Creates a new object that is a copy of the current instance.

A new object that is a copy of this instance. 2

Class to calculate average response factor regression fits. This class has been made public to support XML serialization only. Application code should use interface IRegession or class Calibration.

Gets or sets the slope of line. This should not be set by application code. Setter exposed to support XML serialization only.

Gets a Statistical result from regression calculation. For curves not supporting this, return -1

Initializes a new instance of the class. Parameterless constructor to support XML serialization only.

Initializes a new instance of the class. Constructor, in which the average response factor, i.e. the average of ratio of response ratio to amount is calculated for all replicates

The calibration levels.

Gets the calibration equation (such as "y=mx+c")

Find the response ratio which represents a calculated amount. This is the inverse of the calculation needed for quantitation.

The know amount The response ratio which would represent this amount

Find the predicted amount given a response ratio

The response ration of the peak being measured The calculated amount for this response ratio

Implementation of ICloneable.Clone method. Creates deep copy of this instance.

An exact copy of the current regression.

Class factory to create a calibration curve based on a set of calibration levels, with acquired replicates at each level. This can either be used as a static method to create a regression interface, or as a real class, allowing regression to be serialized

Initializes a new instance of the class. Create calibration curve

The results from peak detecting the calibration replicates for all levels. The regression method used to fit the calibration curve Sets how the origin of the calibration curve is treated Determines how the calibration curve is weighted AnalysisException.

Prevents a default instance of the class from being created.

Gets or sets object to perform Average Response Factor regression. This object is only exposed to permit XML serialization. Calling code should use IRegression for access to all fit types.

Gets or sets object to perform Cubic Spline regression. This object is only exposed to permit XML serialization. Calling code should use IRegression for access to all fit types.

Gets or sets object to perform Locally Weighted regression. This object is only exposed to permit XML serialization. Calling code should use IRegression for access to all fit types.

Gets or sets object to perform Log Log regression. This object is only exposed to permit XML serialization. Calling code should use IRegression for access to all fit types.

Gets or sets object to perform Point to Point regression. This object is only exposed to permit XML serialization. Calling code should use IRegression for access to all fit types.

Gets or sets object to perform Simple regression. This object is only exposed to permit XML serialization. Calling code should use IRegression for access to all fit types.

Gets the calibration equation (such as "y=mx+c")

Gets the highest X value on the calibration curve

Gets the highest Y value on the calibration curve

Gets a value indicating whether the regression fit was valid. After constructing a calibration object, it can only be used if "Ok". For example: if there are no calibration levels, Ok will be false.

Gets a statistical result from regression calculation. For curves not supporting this, return -1

Create calibration curve

Create a single replicate table which is the merge of two tables. This permits a regression to be calculated based on replicates from more than one sequence. This combines replicates of equivalent levels, and adds new levels as needed. Example usage "Calibration.CreateCalibrationCurve(Calibration.CreateMergedReplicates(calibrationLevels,previousLevels), RegressionMethod.FirstOrder,..."

Replicates from current sequence Replicates from previous sequence A merged set of replicates

Creates a new object that is a copy of the current instance.

A new object that is a copy of this instance. 2

Find the predicted amount given a response ratio

The response ratio of the peak being measured The calculated amount for this response ratio

Find the response ratio which represents a calculated amount. This is the inverse of the calculation needed for quantitation.

The known amount The response ratio which would represent this amount

Create a table of data to plot on a calibration curve

The number of calibration curve points to supply If is true, plotting is performed between 0 and the larger of the base amount of the largest level and . Maximum value for the curve (if is set) The generated curve data, or null if there are insufficient required points specified

The merge replicates.

The all replicates. The external replicates.

Fix regression reference.

AnalysisException. The fixed regression.

Class to hold x,y pairs for the calibration curve Intended as a base class for the regression calculations. Property access is for derived classes and Xml serialization only. Application code should not use this class directly.

Gets or sets a value indicating whether a valid curve has been calculated

Gets or sets the lowest calibration amount (usually a concentration) for standards on this curve

Gets or sets the highest calibration amount (usually a concentration) for standards on this curve

Gets or sets the number of X and Y Points

Gets the highest X value on the calibration curve

Gets the highest Y value on the calibration curve

Gets or sets the X points of calibration data This data is made public for Xml serialization only.

Gets or sets the Y points of calibration data This data is made public for Xml serialization only.

Initializes a new instance of the class. Constructor to support XML serialization of class only.

The smidge.

The smidge 1 m.

Initializes a new instance of the class.

The calibration levels.

This method permits derived classes to deep clone base

The object which data is copied to.

Count calibration replicates.

The calibration levels. The included count. The excluded count.

Create a table of data to plot on a calibration curve

The number of calibration curve points to supply If this is true, plotting is performed between 0 and the larger of the base amount of the largest level and maxValue. Maximum value for the curve (if useMaxValue is set) The generated curve data, or null if there are insufficient required points specified

Find the response ratio which represents a calculated amount. This is the inverse of the calculation needed for quantitation.

The know amount The response ratio which would represent this amount

Fit calibration points using a cubic spline curve. This class has been made public to support XML serialization only. Application code should use interface IRegession or class Calibration.

Initializes a new instance of the class. Parameterless constructor to support XML serialization only.

Gets or sets the number of spline intervals. Made accessible for XML serialization only. Do not set by application.

Gets or sets spline coefficients, exposed to support XML serialization only. Do not adjust in application code.

Initializes a new instance of the class. Create a cubic spline calibration curve

The results from peak detecting the calibration replicates for all levels. Sets how the origin of the calibration curve is treated

Create exception. Always throws. Sets Ok to false. This can be used in a constructor, to show failed construction

The message. Exception is always thrown with the supplied message.

Record failure. This can be used to indicate a failed results, outside of a constructor

always returns 0.

Find the response ratio which represents a calculated amount. This is the inverse of the calculation needed for quantitation.

The know amount The response ratio which would represent this amount

Calculate which interval "search" is in. Where: search is within the range of the values, and values are ascending.

list of values to search Amount to look for Interval i, such that amount is between X[i] and X [i+1]

Find the predicted amount given a response ratio

The response ration of the peak being measured The calculated amount for this response ratio

Gets RSquared. This regression interface value is not valid for this regression type. It always returns -1.

Gets the calibration equation (such as "y=mx+c")

Implementation of ICloneable.Clone method. Creates deep copy of this instance.

An exact copy of the current spline.

Class to calculate locally weighted regression fits. This class has been made public to support XML serialization only. Application code should use interface IRegession or class Calibration.

Initializes a new instance of the class. Parameterless constructor to support XML serialization only.

Gets or sets the slope of the fitted line. Property to support serialization of settings. Not for application use. Application code should use interface IRegession or class Calibration to access regression features.

Initializes a new instance of the class.

The calibration levels. The curve. The origin.

Find the response ratio which represents a calculated amount. This is the inverse of the calculation needed for quantitation.

The know amount The response ratio which would represent this amount

Find the predicted amount given a response ratio

The response ration of the peak being measured The calculated amount for this response ratio

Gets the calibration equation (such as "y=mx+c")

Implementation of ICloneable.Clone method. Creates deep copy of this instance.

An exact copy of the current regression.

Defines "1st Order Log-Log" and "2nd Order Log-Log" calibration curves Class to calculate log log regression fits. This class has been made public to support XML serialization only. Application code should use interface IRegession or class Calibration.

Initializes a new instance of the class. Parameterless constructor to support XML serialization only.

Initializes a new instance of the class.

The calibration levels. The curve. The origin.

Store a string representation of the equation

Find the response ratio which represents a calculated amount. This is the inverse of the calculation needed for quantitation.

The know amount The response ratio which would represent this amount

Find the predicted amount given a response ratio

The response ration of the peak being measured The calculated amount for this response ratio

Implementation of ICloneable.Clone method. Creates deep copy of this instance.

An exact copy of the current regression.

Class to perform Point To Point regression fits This class has been made public to support XML serialization only. Application code should use interface IRegession or class Calibration.

Initializes a new instance of the class. Parameterless constructor to support XML serialization only.

Initializes a new instance of the class.

The calibration levels. The origin.

Find the response ratio which represents a calculated amount. This is the inverse of the calculation needed for quantitation.

The know amount The response ratio which would represent this amount

Find the predicted amount given a response ratio

The response ration of the peak being measured The calculated amount for this response ratio

Gets a statistical result from regression calculation. For curves not supporting this, return -1

Gets the calibration equation (such as "y=mx+c")

Implementation of ICloneable.Clone method. Creates deep copy of this instance.

An exact copy of the current regression.

A strongly-typed resource class, for looking up localized strings, etc.

Returns the cached ResourceManager instance used by this class.

Overrides the current thread's CurrentUICulture property for all resource lookups using this strongly typed resource class.

Looks up a localized string similar to Average Response Factor = .

Looks up a localized string similar to Calibration level base amounts must differ by 1.0e-20.

Looks up a localized string similar to Cannot create calibration curve.

Looks up a localized string similar to Cubic Spline.

Looks up a localized string similar to Locally Weighted Regression.

Looks up a localized string similar to *log(X).

Looks up a localized string similar to log(Y) = .

Looks up a localized string similar to No calibration curve created.

Looks up a localized string similar to Point-to-Point.

Looks up a localized string similar to 1/sigma^2 weighting requires more than one calibration point per level.

Base class for various specific regression (calibration curve) classes. Property setters for this class are to support XML serialization only. Applications should not call the setters, as they are all calculated by the class from the supplied replicates.

Gets or sets Property to support serialization of R Squared value. Not for application use. Application code should use interface IRegession or class Calibration to access regression features.

Gets Property to support serialization of settings. Not for application use. Application code should use interface IRegession or class Calibration to access regression features.

Gets Property to support serialization of coefficients. Not for application use. Application code should use interface IRegession or class Calibration to access regression features.

Gets or sets coefficient A0. Property to support serialization of coefficients. Not for application use. Application code should use interface IRegession or class Calibration to access regression features.

Gets or sets coefficient A1. Property to support serialization of coefficients. Not for application use. Application code should use interface IRegession or class Calibration to access regression features.

Gets or sets coefficient A2. Property to support serialization of coefficients. Not for application use. Application code should use interface IRegession or class Calibration to access regression features.

Initializes a new instance of the class. Construct a regression line fitting the calibration levels

The results from peak detecting the calibration replicates for all levels. The regression method used to fit the calibration curve Sets how the origin of the calibration curve is treated

Parameterless constructor to support serialization only.

Find the next included replicate.

The calibration levels. The level index. The replicate index. The base amount. The amount. The response ratio. true if an included replicate is found

Get the next replicate, by stepping though all replicates of each level.

The calibration levels. The level index. The replicate index. The base amount. The amount. The response ratio. The is excluded.

Invert a 2x2 matrix.

count SumOfX SumOfX SumOfXSquared AnalysisException thrown if cannot make a curve.

invert 3 by 3 x prime x.

The a. The b. The c. The d. The e. The f. The g. The h. The k.

Mulitply a (nxn) square matrix (where n is less than 3) by a vector v of length n, placing the results in the vector b of length n

The m. The v. The b.

Find the value of x in the range [0..maximumReasonable] for which the regression equation y = f(x) evaluates to y.

The known value of Y The largest y value to return The calculated X Value

Records a failure of the regression. Sets the OK flag to false.

always 0.0

Defines "1st Order" or "2nd Order" calibration curves

Initializes a new instance of the class. Parameterless constructor to support XML serialization only.

Gets or sets WeightingIndex.

Initializes a new instance of the class. Create a first order regression calibration curve

Find the response ratio which represents a calculated amount. This is the inverse of the calculation needed for quantitation.

The know amount The response ratio which would represent this amount

Find the predicted amount given a response ratio

The response ration of the peak being measured The calculated amount for this response ratio

The build one over x type weights.

The build one over sigma 2 weights.

The calibration levels. Thrown when not enough calibration points

The normalize weights.

Gets the calibration equation (such as "y=mx+c")

Implementation of ICloneable.Clone method. Creates deep copy of this instance.

An exact copy of the current regression.

Fit calibration points using a simple spline. This class has been made public to support XML serialization only. Application code should use interface IRegession or class Calibration.

Initializes a new instance of the class. Parameterless constructor to support XML serialization only.

Initializes a new instance of the class.

The calibration levels. The origin.

Class for holding basic statistical functions, used in our quantitation code.

Calculate the percentage Relative Standard Deviation of the supplied data

A collection of doubles, such as double[] or List of double. The percentage RSD of the data