tvalue The calculation of 0.05 And the calculation of degrees of freedom. Therefore, The key to multiple comparisons is SED And tvalue The calculation of. R Language Computing LSD by : # $statistics Here are the factors block The values of are : # Least significant differences of means (5% level) # Standard errors of differences of means
Standard error, The standard error of the difference, Calculation of the least significant difference Like the level 60.775 - 54.025 > 6.70889, So their multiple comparisons are marked as a and b. Here, Got LSD = 6.708889, In multiple comparisons, Use the difference between the average of the levels, And LSD Compare, If it is greater than LSD, There is a significant difference between the two levels. > mod1 = aov(yield ~ N + block, data=npk) Modeling : > # 3, modeling :yield ~ N + block Load data, View the data : > # aov Multiple comparisons of Use npk data, Modeling, Yes block Multiple comparisons. variance analysis aov Multiple comparisons of
Compare m A mean, It needs to be done alone (m/2)=m(m-1)/2 Time t test, It's not only a lot of work, And the error is also large. t The test can only show whether the difference between the two means is significant. Through the analysis of variance, we can explain whether the difference between the population means is significant, That is to say, the mean value is not all equal, But we can't specify which means are significantly different from each other. One can add more categories to be searched to subsection C, see some suggestions in subsection D.Īll this process can be restarted by clicking on the link at the bottom of subsection E.The multiple comparison method is the comparison method of the mean values of multiple equal variance normal populations. They were found by looking in the categories in subsection C. In subsection A below, listed are articles which are missing from the List of statistics articles.