User manual TERRAILLON AUTOMATIC ELECTRONIC BATHROOM SCALE

[. . . ] 1 Exponent template . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Square root template . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Nth root template . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 e exponent template . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [. . . ] X and Y are lists of independent and dependent variables. Freq is an optional list of frequency values. Each element in Freq specifies the frequency of occurrence for each corresponding X and Y data point. Category is a list of category codes for the corresponding X and Y data. Include is a list of one or more of the category codes. Only those data items whose category code is included in this list are included in the calculation. For information on the effect of empty elements in a list, see “Empty (void) elements” on page 159. Output variable stat. RegEqn stat. a, stat. b, stat. c stat. Resid stat. XReg Description Regression equation: c/(1+a·e-bx) Regression coefficients Residuals from the regression List of data points in the modified X List actually used in the regression based on restrictions of Freq, Category List, and Include Categories List of data points in the modified Y List actually used in the regression based on restrictions of Freq, Category List, and Include Categories List of frequencies corresponding to stat. XReg and stat. YReg stat. YReg stat. FreqReg LogisticD LogisticD X, Y [ , [Iterations] , [Freq] [, Category, Include] ] Catalog > Computes the logistic regression y = (c/(1+a·e-bx)+d) on lists X and Y with frequency Freq, using a specified number of Iterations. A summary of results is stored in the stat. results variable. (See page 119. ) All the lists must have equal dimension except for Include. X and Y are lists of independent and dependent variables. Freq is an optional list of frequency values. For more information on empty elements, see page 159. MedMed MedMed X, Y [, Freq] [, Category, Include]] Catalog > Computes the median-median line y = (m·x+b) on lists X and Y with frequency Freq. A summary of results is stored in the stat. results variable. (See page 119. ) All the lists must have equal dimension except for Include. X and Y are lists of independent and dependent variables. Freq is an optional list of frequency values. Each element in Freq specifies the frequency of occurrence for each corresponding X and Y data point. Category is a list of category codes for the corresponding X and Y data. Include is a list of one or more of the category codes. Only those data items whose category code is included in this list are included in the calculation. For information on the effect of empty elements in a list, see “Empty (void) elements” on page 159. Output variable stat. RegEqn stat. m, stat. b stat. Resid stat. XReg Description Median-median line equation: m·x+b Model coefficients Residuals from the median-median line List of data points in the modified X List actually used in the regression based on restrictions of Freq, Category List, and Include Categories List of data points in the modified Y List actually used in the regression based on restrictions of Freq, Category List, and Include Categories List of frequencies corresponding to stat. XReg and stat. YReg stat. YReg stat. FreqReg mid() mid(sourceString, Start[, Count]) Catalog > ⇒ string Returns Count characters from character string sourceString, beginning with character number Start. If Count is omitted or is greater than the dimension of sourceString, returns all characters from sourceString, beginning with character number Start. [. . . ] Make sure that the name: • Does not contain a period • Does not begin with an underscore • Does not exceed 16 characters • Is not a reserved name See the Library section in the documentation for more details. Domain error: The tangentLine and normalLine functions support real-valued functions only. Trigonometric conversion operators are not supported in Degree or Gradian angle modes. Argument Error Use a system of linear equations. [. . . ]