Description: Find missing values in a vector. Syntax: A.ismiss() Find the null values or empty strings in vector A and rvector, missing value
Description: Build models and performs predictions using the Lasso regression method. Syntax: lasso(X, Y, learning_rate,model,prediction,vector
Description: Correct Akima piecewise cubic Hermite interpolation. Syntax: makimamthd(x,y,newx) Note: External library fuvector, interpolation
Description: Search for positions of non-zero members in a vector or matrix. Syntax: mfind(A, n) Note: The external librvector,matrix, non-zero
Description: Calculate the product of two matrices or vectors. Syntax: mul(A, X) Note: The function calculates the produvector, matrix, multiplication
Description: Calculate the standard error of the mean between two vectors. Syntax: mse(A,B) Note: The function calculatevector, standard error of the mean
Description: Piecewise cubic Hermite interpolating polynomial. Syntax: pchipmthd(x,y,newx) Note: x,y are a coordinate vevector, interpolation, polynomial
Description: Calculate Pearson’s correlation coefficient between two vectors. Syntax: pearson(A,B) Note: The function cavector,pearson’s correlation coefficient
Description: Delete missing values from a vector. Syntax: A.rmmiss() Note: External library function (See External Libravector, missing value
Description: Perform SG smoothing on each row of a vector or a matrix. Syntax: sg(A,n,m,d) Note: The external library fuvector,matrix,sg smoothing