![]() The ewmaplot default for alpha changed to 0.27% to conform to the standard ewma chart definition. Revisiting the example above, table(i,j,k.) counts the number of times that the first argument takes the value labels, and so on. The column lists the values of that input. The labels output is a cell array with one column for each input argument. In this release, table can be other than a two-dimensional table, and the test is that all dimensions are independent. The new version simply does not consider that category, so it does not reserve zeros for it.Īs in the previous release, chi2 is a chi-square statistic for testing independence, and p is its p-value. In that case, the previous release would have produced a divide-by-zero warning and would have generated a row or column of zeros in table. ![]() (In the previous release each input had to be a vector of positive integers taking values 1, ., g for some g.) If there are v input variables, the output table is a v-dimensional array, with table(i,j,k.) counting the number of times that the first argument takes its ith value, that the second argument takes its jth value, that the third argument takes its kth value, and so on.įor the case of two positive integer input arguments, the function yields the same results as the previous release unless there are missing integers (i.e., not all of 1, ., g appear in the input). Each input can be a numeric vector, a string array, or a cell array of strings. The crosstab function now accepts any number of inputs, not just two. If flag is 'clusters', then cutoff is the maximum number of clusters. If flag is 'inconsistent', then cutoff is interpreted as a threshold for the inconsistency coefficient. The cluster function adds a flag argument which overrides the default meaning of the cutoff argument. In addition, g can be a cell array of grouping variables to produce a separate box for each unique combination of grouping variable levels. The second syntax displays a box for each level of the grouping variable g. The first syntax displays a box for each column of the x matrix. The second syntax for boxplot above is new. Issues an error message if x is constant.Issues an error message if there are any 0 or 1 values.Linear model functions (e.g., anova1, polyval, etc.) ignore observations with NaN value in the X or Y input. Statistics Toolbox 3.0 Release Notes (Statistics Toolbox Release Notes) Statistics Toolbox Release Notes
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