![]() ![]() This test creates a set of confidence intervals on the differences between the means of the levels of a factor with the specified family-wise probability of coverage. I shall use TukeyHSD() to compute the significant differences among the mean values. Compute Tukey Honest Significant differences However, this effect was non-significant for interaction term. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Enzyme activity is significantly affected by the both factor variables individually. The head() function will print the first six rows of the data set. In my data set the file contains the variable names in the first row, so I shall use TRUE for this argument. In header argument you can set a logical value that will indicate whether the data file contains first variable names as first row. The file argument specify the file name with extension CSV. I have already saved the data file as CSV (comma delimited file) in the working directory. Now let’s import the data set using read.csv() function. You can also clear the plots using graphics.off() and clear everything in console using shell() function. I often recommend to first clear all the objects or values in the global environment using rm(list = ls(all = TRUE)) before importing the data set. Amphipods were separated by gender to know whether the gender also affected enzyme activity. Here, the example used shows the enzyme activity of mannose-6-phosphate isomerase and MPI genotypes in the amphipod crustacean. Each treatment is applied to one or more plots within the larger block, and the positions of the treatments are assigned at random. Because the larger blocks may differ in some way that may affect the measurement variable, the data are analyzed with a two-way ANOVA, with the block as one of the nominal variables. This often occurs in agriculture, where you may want to test different treatments on small plots within larger blocks of land. Randomized blocksĪnother experimental design that is analyzed by a two-way ANOVA is randomized blocks. Repeated measures experiments are often done without replication, although they could be done with replication. ![]() This usually involves measurements taken at different time points or at different places. In this design, the observation has been made on the same individual more than once. One experimental design that people analyze with a two-way ANOVA is repeated measures. ![]() H 1: There is significant interaction When the interaction term is significant, the usual advice is that you should not test the effects of the individual factors. H 0: There is no interaction between genotype and gender The interaction test tells you whether the effects of one factor depend on the other factor. There is no interaction between the two factors. H 1: At least two means of gender are unequal ![]()
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