Paired or unpaired t tests. If starting up Windows OS or macOS while inserting SxS card with UDF formatted, the card may not be mounted. Restart the PC and then install the new version. SxS Device Driver needs to be installed for using ExpressCard slot built in a laptop PC / Mac. SxS UDF Driver software enables read/write of MXF files recorded in UDF mode on SxS.Smart Card Utility for iOS supports Smart Card readers from Feitian (including Bluetooth and Lighting readers), YubiKey (both NFC and Lightning), and any contactless Smart Card (NFC). P value) from multiple t test analysis.Smart Card Utility for macOS supports any compatible PIV Smart Card Reader. Automatically generate volcano plot (difference vs. This single-slot reader’s ability to transfer data from P2 cards at much higher speeds than USB 2.0 card readers are capable makes for a significantly more convenient and efficient workflow. Our award-winning lineup includes memory cards, USB flash drives, readers, SSDs and storage drives for retail and OEM customers.Sonnets Thunderbolt Pro P2 Card Reader quickly transfers files from Panasonic P2 memory cards to your Mac (with Thunderbolt or Thunderbolt 2 ports) on location, in the studio, or in the edit suite.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.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.
Card Reader Software Software Enables ReadThree-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. 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). Compare curves with the log-rank test (including test for trend). Kaplan-Meier survival analysis. Accept automatic initial estimated values or enter your own. Differentially weight points by several methods and assess how well your weighting method worked. Compare models using extra sum-of-squares F test or AICc. Automatic outlier identification or elimination. Global nonlinear regression – share parameters between data sets. Enter different equations for different data sets. Runs or replicates test of adequacy of model. Quantify symmetry of imprecision with Hougaard’s skewness. Confidence intervals can be symmetrical (as is traditional) or asymmetrical (which is more accurate). Quantify precision of fits with SE or CI of parameters. ![]() Mean or geometric mean with confidence intervals. Calculate descriptive statistics: min, max, quartiles, mean, SD, SEM, CI, CV, skewness, kurtosis. Specify variables defining axis coordinates, color, and size. Use results in downstream applications like Principal Component Regression. Excel for mac 2016 hangs when closing fileIdentify outliers using Grubbs or ROUT method. One sample t test or Wilcoxon test to compare the column mean (or median) with a theoretical value. Create QQ Plot as part of normality testing. Lognormality test and likelihood of sampling from normal (Gaussian) vs. Normality testing by four methods (new: Anderson-Darling). Test for departure from linearity with a runs test. Force the regression line through a specified point. Calculate slope and intercept with confidence intervals. Generate models relating multiple independent variables to a single dependent variable using the new multiple variables data table. Pearson or Spearman (nonparametric) correlation. Interpolate new points along the standard curve. Compare slopes and intercepts of two or more regression lines. Repeat analyses of simulated data as a Monte-Carlo analysis. Simulate XY, Column or Contingency tables. Deming regression (type ll linear regression). Receiver operator characteristic (ROC) curves. Logistic regression (when Y is binary yes/no, pass/fail, etc.). Poisson regression (when Y is counts 0, 1, 2, …). Compute each value as a fraction of its row, column or grand total. Subtract baseline (and combine columns). Area under the curve, with confidence interval.
0 Comments
Leave a Reply. |
AuthorLeticia ArchivesCategories |