\hypertarget{group__mymath}{}\doxysection{Mymath Library} \label{group__mymath}\index{Mymath Library@{Mymath Library}} Math and matrix utilities. \doxysubsection*{Functions} \begin{DoxyCompactItemize} \item void \mbox{\hyperlink{group__mymath_ga227eaade4011887dce2896bb79d155bc}{transpone}} (double $\ast$arr, unsigned int Nrows, unsigned int Ncols) \begin{DoxyCompactList}\small\item\em Transposes a matrix in-\/place. \end{DoxyCompactList}\item void \mbox{\hyperlink{group__mymath_ga20b46b1a784a88425c75346675dd5a9f}{invert}} (double $\ast$arr, unsigned int Nrows, unsigned int Ncols) \begin{DoxyCompactList}\small\item\em Inverts a square matrix in-\/place. \end{DoxyCompactList}\item double $\ast$ \mbox{\hyperlink{group__mymath_gaa416e7200d138f4658d7e0957f99b1f7}{mulmat}} (const double $\ast$matrix0, unsigned int Nrows, unsigned int Ncols, const double $\ast$matrix1, unsigned int Mrows, unsigned int Mcols) \begin{DoxyCompactList}\small\item\em Multiplies two matrices and returns the result as a new matrix. \end{DoxyCompactList}\item void \mbox{\hyperlink{group__mymath_gab2f9dd27878a8e05a6aba5b499b178de}{matlinreg}} (double coeffs\mbox{[}2\mbox{]}, const double $\ast$xmat, unsigned int Nrows, unsigned int Ncols, double $\ast$vec, const double $\ast$weight) \begin{DoxyCompactList}\small\item\em Performs linear regression on a dataset with optional weighting. \end{DoxyCompactList}\item void \mbox{\hyperlink{group__mymath_ga796beb5c24876db27ada7a5e2466330d}{fit\+Npeaks}} (double $\ast$intercept, double $\ast$slope, unsigned int cur\+Pos, const struct \mbox{\hyperlink{structmyarr}{myarr}} $\ast$maxvals, const struct \mbox{\hyperlink{structmyarr}{myarr}} $\ast$maxes, const struct \mbox{\hyperlink{structmyarr}{myarr}} $\ast$subpos, unsigned int npeaks, double SDthreshold) \begin{DoxyCompactList}\small\item\em Fits a line to N peaks in the data, with outlier rejection. \end{DoxyCompactList}\item void \mbox{\hyperlink{group__mymath_ga7ed6eb4d3afa19567d734e84c0e23ba4}{fastlinreg}} (double coeffs\mbox{[}2\mbox{]}, const double $\ast$xmat, unsigned int Npoints, const double $\ast$vec, const double $\ast$weight\+Arr) \begin{DoxyCompactList}\small\item\em Performs fast weighted linear regression. \end{DoxyCompactList}\item size\+\_\+t \mbox{\hyperlink{group__mymath_gad6fc91777cf096e8b0b1cf14109ddbd3}{getmaxpos}} (const int $\ast$array, size\+\_\+t Array\+Length) \begin{DoxyCompactList}\small\item\em Returns the index of the maximum value in an integer array. \end{DoxyCompactList}\item void \mbox{\hyperlink{group__mymath_ga239201d57c9b2822f69d5ccb3005cc0f}{linreg}} (const double $\ast$xarr, const double $\ast$yarr, size\+\_\+t Array\+Length, double $\ast$intercept, double $\ast$slope, double $\ast$stdev) \begin{DoxyCompactList}\small\item\em Performs simple linear regression on two arrays. \end{DoxyCompactList}\item int \mbox{\hyperlink{group__mymath_ga185afbbfacdb1ebd2fb8bc9f8c7ce458}{shift\+Half}} (size\+\_\+t value, size\+\_\+t Array\+Length) \begin{DoxyCompactList}\small\item\em Shifts a value by half the array length, wrapping around. \end{DoxyCompactList}\end{DoxyCompactItemize} \doxysubsection{Detailed Description} Math and matrix utilities. \doxysubsection{Function Documentation} \mbox{\Hypertarget{group__mymath_ga7ed6eb4d3afa19567d734e84c0e23ba4}\label{group__mymath_ga7ed6eb4d3afa19567d734e84c0e23ba4}} \index{Mymath Library@{Mymath Library}!fastlinreg@{fastlinreg}} \index{fastlinreg@{fastlinreg}!Mymath Library@{Mymath Library}} \doxysubsubsection{\texorpdfstring{fastlinreg()}{fastlinreg()}} {\footnotesize\ttfamily void fastlinreg (\begin{DoxyParamCaption}\item[{double}]{coeffs\mbox{[}2\mbox{]}, }\item[{const double $\ast$}]{xmat, }\item[{unsigned int}]{Npoints, }\item[{const double $\ast$}]{vec, }\item[{const double $\ast$}]{weight\+Arr }\end{DoxyParamCaption})} Performs fast weighted linear regression. \begin{DoxyParams}{Parameters} {\em coeffs} & Array to store the resulting coefficients (intercept and slope). \\ \hline {\em xmat} & The array of x values. \\ \hline {\em Npoints} & The number of points. \\ \hline {\em vec} & The array of y values. \\ \hline {\em weight\+Arr} & The array of weights. \\ \hline \end{DoxyParams} \mbox{\Hypertarget{group__mymath_ga796beb5c24876db27ada7a5e2466330d}\label{group__mymath_ga796beb5c24876db27ada7a5e2466330d}} \index{Mymath Library@{Mymath Library}!fitNpeaks@{fitNpeaks}} \index{fitNpeaks@{fitNpeaks}!Mymath Library@{Mymath Library}} \doxysubsubsection{\texorpdfstring{fitNpeaks()}{fitNpeaks()}} {\footnotesize\ttfamily void fit\+Npeaks (\begin{DoxyParamCaption}\item[{double $\ast$}]{intercept, }\item[{double $\ast$}]{slope, }\item[{unsigned int}]{cur\+Pos, }\item[{const struct \mbox{\hyperlink{structmyarr}{myarr}} $\ast$}]{maxvals, }\item[{const struct \mbox{\hyperlink{structmyarr}{myarr}} $\ast$}]{maxes, }\item[{const struct \mbox{\hyperlink{structmyarr}{myarr}} $\ast$}]{subpos, }\item[{unsigned int}]{npeaks, }\item[{double}]{SDthreshold }\end{DoxyParamCaption})} Fits a line to N peaks in the data, with outlier rejection. \begin{DoxyParams}{Parameters} {\em intercept} & Pointer to store the intercept. \\ \hline {\em slope} & Pointer to store the slope. \\ \hline {\em cur\+Pos} & The current position in the data. \\ \hline {\em maxvals} & Array of weights. \\ \hline {\em maxes} & Array of y values. \\ \hline {\em subpos} & Array of sub-\/positions. \\ \hline {\em npeaks} & Number of peaks to fit. \\ \hline {\em SDthreshold} & Standard deviation threshold for outlier rejection. \\ \hline \end{DoxyParams} \mbox{\Hypertarget{group__mymath_gad6fc91777cf096e8b0b1cf14109ddbd3}\label{group__mymath_gad6fc91777cf096e8b0b1cf14109ddbd3}} \index{Mymath Library@{Mymath Library}!getmaxpos@{getmaxpos}} \index{getmaxpos@{getmaxpos}!Mymath Library@{Mymath Library}} \doxysubsubsection{\texorpdfstring{getmaxpos()}{getmaxpos()}} {\footnotesize\ttfamily size\+\_\+t getmaxpos (\begin{DoxyParamCaption}\item[{const int $\ast$}]{array, }\item[{size\+\_\+t}]{Array\+Length }\end{DoxyParamCaption})} Returns the index of the maximum value in an integer array. \begin{DoxyParams}{Parameters} {\em array} & The array to search. \\ \hline {\em Array\+Length} & The number of elements in the array. \\ \hline \end{DoxyParams} \begin{DoxyReturn}{Returns} The index of the maximum value. \end{DoxyReturn} \mbox{\Hypertarget{group__mymath_ga20b46b1a784a88425c75346675dd5a9f}\label{group__mymath_ga20b46b1a784a88425c75346675dd5a9f}} \index{Mymath Library@{Mymath Library}!invert@{invert}} \index{invert@{invert}!Mymath Library@{Mymath Library}} \doxysubsubsection{\texorpdfstring{invert()}{invert()}} {\footnotesize\ttfamily void invert (\begin{DoxyParamCaption}\item[{double $\ast$}]{arr, }\item[{unsigned int}]{Nrows, }\item[{unsigned int}]{Ncols }\end{DoxyParamCaption})} Inverts a square matrix in-\/place. \begin{DoxyParams}{Parameters} {\em arr} & The square matrix to invert, stored as a 1D array in row-\/major order. The result will overwrite the original matrix. \\ \hline {\em Nrows} & The number of rows (and columns) in the square matrix. \\ \hline {\em Ncols} & The number of columns (and rows) in the square matrix. \\ \hline \end{DoxyParams} \mbox{\Hypertarget{group__mymath_ga239201d57c9b2822f69d5ccb3005cc0f}\label{group__mymath_ga239201d57c9b2822f69d5ccb3005cc0f}} \index{Mymath Library@{Mymath Library}!linreg@{linreg}} \index{linreg@{linreg}!Mymath Library@{Mymath Library}} \doxysubsubsection{\texorpdfstring{linreg()}{linreg()}} {\footnotesize\ttfamily void linreg (\begin{DoxyParamCaption}\item[{const double $\ast$}]{xarr, }\item[{const double $\ast$}]{yarr, }\item[{size\+\_\+t}]{Array\+Length, }\item[{double $\ast$}]{intercept, }\item[{double $\ast$}]{slope, }\item[{double $\ast$}]{stdev }\end{DoxyParamCaption})} Performs simple linear regression on two arrays. \begin{DoxyParams}{Parameters} {\em xarr} & The array of x values. \\ \hline {\em yarr} & The array of y values. \\ \hline {\em Array\+Length} & The number of elements in the arrays. \\ \hline {\em intercept} & Pointer to store the intercept. \\ \hline {\em slope} & Pointer to store the slope. \\ \hline {\em stdev} & Pointer to store the standard deviation of the fit. \\ \hline \end{DoxyParams} \mbox{\Hypertarget{group__mymath_gab2f9dd27878a8e05a6aba5b499b178de}\label{group__mymath_gab2f9dd27878a8e05a6aba5b499b178de}} \index{Mymath Library@{Mymath Library}!matlinreg@{matlinreg}} \index{matlinreg@{matlinreg}!Mymath Library@{Mymath Library}} \doxysubsubsection{\texorpdfstring{matlinreg()}{matlinreg()}} {\footnotesize\ttfamily void matlinreg (\begin{DoxyParamCaption}\item[{double}]{coeffs\mbox{[}2\mbox{]}, }\item[{const double $\ast$}]{xmat, }\item[{unsigned int}]{Nrows, }\item[{unsigned int}]{Ncols, }\item[{double $\ast$}]{vec, }\item[{const double $\ast$}]{weight }\end{DoxyParamCaption})} Performs linear regression on a dataset with optional weighting. \begin{DoxyParams}{Parameters} {\em coeffs} & An array of size 2 where the resulting coefficients (intercept and slope) will be stored. \\ \hline {\em xmat} & The design matrix, stored as a 1D array in row-\/major order. \\ \hline {\em Nrows} & The number of rows in the design matrix. \\ \hline {\em Ncols} & The number of columns in the design matrix. \\ \hline {\em vec} & The response vector, stored as a 1D array. \\ \hline {\em weight} & An optional array of weights for each data point, stored as a 1D array. If NULL, unweighted regression is performed. \\ \hline \end{DoxyParams} \mbox{\Hypertarget{group__mymath_gaa416e7200d138f4658d7e0957f99b1f7}\label{group__mymath_gaa416e7200d138f4658d7e0957f99b1f7}} \index{Mymath Library@{Mymath Library}!mulmat@{mulmat}} \index{mulmat@{mulmat}!Mymath Library@{Mymath Library}} \doxysubsubsection{\texorpdfstring{mulmat()}{mulmat()}} {\footnotesize\ttfamily double $\ast$ mulmat (\begin{DoxyParamCaption}\item[{const double $\ast$}]{matrix0, }\item[{unsigned int}]{Nrows, }\item[{unsigned int}]{Ncols, }\item[{const double $\ast$}]{matrix1, }\item[{unsigned int}]{Mrows, }\item[{unsigned int}]{Mcols }\end{DoxyParamCaption})} Multiplies two matrices and returns the result as a new matrix. \begin{DoxyParams}{Parameters} {\em matrix0} & The first matrix, stored as a 1D array in row-\/major order. \\ \hline {\em Nrows} & The number of rows in the first matrix. \\ \hline {\em Ncols} & The number of columns in the first matrix. \\ \hline {\em matrix1} & The second matrix, stored as a 1D array in row-\/major order. \\ \hline {\em Mrows} & The number of rows in the second matrix. \\ \hline {\em Mcols} & The number of columns in the second matrix. \\ \hline \end{DoxyParams} \begin{DoxyReturn}{Returns} A pointer to the resulting matrix, stored as a 1D array in row-\/major order. The caller is responsible for freeing this memory. \end{DoxyReturn} \mbox{\Hypertarget{group__mymath_ga185afbbfacdb1ebd2fb8bc9f8c7ce458}\label{group__mymath_ga185afbbfacdb1ebd2fb8bc9f8c7ce458}} \index{Mymath Library@{Mymath Library}!shiftHalf@{shiftHalf}} \index{shiftHalf@{shiftHalf}!Mymath Library@{Mymath Library}} \doxysubsubsection{\texorpdfstring{shiftHalf()}{shiftHalf()}} {\footnotesize\ttfamily int shift\+Half (\begin{DoxyParamCaption}\item[{size\+\_\+t}]{value, }\item[{size\+\_\+t}]{Array\+Length }\end{DoxyParamCaption})} Shifts a value by half the array length, wrapping around. \begin{DoxyParams}{Parameters} {\em value} & The value to shift. \\ \hline {\em Array\+Length} & The length of the array. \\ \hline \end{DoxyParams} \begin{DoxyReturn}{Returns} The shifted value, wrapped around the array length. \end{DoxyReturn} \mbox{\Hypertarget{group__mymath_ga227eaade4011887dce2896bb79d155bc}\label{group__mymath_ga227eaade4011887dce2896bb79d155bc}} \index{Mymath Library@{Mymath Library}!transpone@{transpone}} \index{transpone@{transpone}!Mymath Library@{Mymath Library}} \doxysubsubsection{\texorpdfstring{transpone()}{transpone()}} {\footnotesize\ttfamily void transpone (\begin{DoxyParamCaption}\item[{double $\ast$}]{arr, }\item[{unsigned int}]{Nrows, }\item[{unsigned int}]{Ncols }\end{DoxyParamCaption})} Transposes a matrix in-\/place. \begin{DoxyParams}{Parameters} {\em arr} & The matrix to transpose, stored as a 1D array in row-\/major order. \\ \hline {\em Nrows} & The number of rows in the original matrix. \\ \hline {\em Ncols} & The number of columns in the original matrix. \\ \hline \end{DoxyParams}