Automatic outlier identification or elimination.Global nonlinear regression – share parameters between data sets.Enter different equations for different data sets.Enter differential or implicit equations.Now including family of growth equations: exponential growth, exponential plateau, Gompertz, logistic, and beta (growth and then decay). Fit one of our 105 built-in equations, or enter your own.Comparison of data from nested data tables using nested t test or nested one-way ANOVA (using mixed effects model).Analysis of repeated measures data (one-, two-, and three-way) using a mixed effects model (similar to repeated measures ANOVA, but capable of handling missing data).Three-way ANOVA (limited to two levels in two of the factors, and any number of levels in the third).Tukey, Newman-Keuls, Dunnett, Bonferroni, Holm-Sidak, or Fisher’s LSD multiple comparisons testing main and simple effects. Two-way ANOVA, with repeated measures in one or both factors.Two-way ANOVA, even with missing values with some post tests.Calculate the relative risk and odds ratio with confidence intervals. Fisher's exact test or the chi-square test.Kruskal-Wallis or Friedman nonparametric one-way ANOVA with Dunn's post test.When this is chosen, multiple comparison tests also do not assume sphericity. Greenhouse-Geisser correction so repeated measures one-, two-, and three-way ANOVA do not have to assume sphericity.Many multiple comparisons test are accompanied by confidence intervals and multiplicity adjusted P values.One-way ANOVA without assuming populations with equal standard deviations using Brown-Forsythe and Welch ANOVA, followed by appropriate comparisons tests (Games-Howell, Tamhane T2, Dunnett T3).Ordinary or repeated measures ANOVA followed by the Tukey, Newman-Keuls, Dunnett, Bonferroni or Holm-Sidak multiple comparison tests, the post-test for trend, or Fisher’s Least Significant tests.Perform many t tests at once, using False Discovery Rate (or Bonferroni multiple comparisons) to choose which comparisons are discoveries to study further.Wilcoxon test with confidence interval of median.Kolmogorov-Smirnov test to compare two groups. Nonparametric Mann-Whitney test, including confidence interval of difference of medians.Automatically generate volcano plot (difference vs.Reports P values and confidence intervals. If you need to control which point is on top, change the order of the rows. The first row is furthest back and the data entered in the last (bottom) row is plotting in front. Within a data set, the front-to-back order of plotting is determined by the order of rows in the data table. It does not change the order of the legends. To fine tune the front-to-back order, go to the Data Sets on Graph tab of the Format Graph dialog.Ĭhanging the order of the data sets on this dialog changes the font-to-back order of the data sets on the graph. To change the front-to-back order of the data sets on a graph:Ĭlick the Rotate/Flip button in the Change section of the Prism toolbar to reverse the front-to-back order of data sets on a graph. Note the green symbols are behind the clear ones in the graph on the left, and in front on the graph on the right. The two graphs in this example are identical except that the plotting order was reversed. When data points overlap (or are superimposed) on an XY graph, the plotting order determines which will show on top.
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