MedMed xlist,ylist[,[freqList],[catlLst],[catincList]]
Calculate median-median regression and
update all statistics variables. First four
arguments must be variable names or c1-c99.
Last argument need not be a variable name and
cannot be c1-c99. All lists except catincList
must have equal dimension. The regression
equation is y = a*x + b.
mid()
For both variations of mid(): if count is omitted or
greater than the dimension of the argument, the
complete argument is returned. count must be
greater than or equal to zero. If count = 0, an
empty string or list is returned.
(string,start[,count])
Return count characters from string beginning at
character position start.
(list,start[,count])
Return count elements of string beginning at
element start.
min()
(expr1,expr2), (list1,list2), (matrix1,matrix2)
Return the minimum of the arguments. List and
matrix arguments are compared element by
element.
(list)
Return the minimum element of list.
(matrix)
Return a row vector whose elements are the
minimum elements of the columns of matrix.
mod()
(expr1,expr2), (list1,list2), (matrix1,matrix2)
Return the first argument modulo the second
argument where
mod(x,0) = x
mod(x,y) = x - y*floor(x/y)
The result is periodic in the second argument
when that argument is non-zero. The result is
either zero or has the same sign as the second
argument.
MoveVar var,curFolder,newFolder
Move var from curFolder to newFolder.
newFolder is created if it does not exist.
mRow(expr,matrix,index)
Return matrix with row index of matrix multiplied
by expr.
mRowAdd(expr,matrix,index1,index2)
Return matrix with row index2 replaced with
expr * row index1 + row index2
nCr(expr1,expr2)
Return number of combinations of expr1 items
taken expr2 at a time, for expr1 expr2 0, and
mm
integer expr1 and expr2. This is the binomial
coefficient.
(expr,n)
If n is zero or a negative integer, return 0.
If n is a positive integer or non-integer, return
expr!
n!
(
expr−n
)
!
(list1,list2)
(matrix1,matrix2)
Return list of nCr() of corresponding element
pairs of each argument. Both arguments must
have the same dimension.
nDeriv()
(expr,var[,h])
Return an estimate of the numerical derivative
of expr with respect to var using the central
difference quotient formula. h is the step size
and defaults to 0.001.
(expr,var,list)
Return list of derivative estimates for each step
size in list.
(list,var[,h])
(matrix,var[,h])
Return list or matrix of derivative estimates for
each element of list or matrix.
NewData var,list1[,list2] [,list3] ...
Create data variable var whose columns are the
lists in order. The lists can be lists, expressions
or list variable names. Make the new variable
current in the Data/Matix editor.
var,matrix
Create data variable var based on matrix.
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