Sentence examples for using the adonis function from inspiring English sources

Variation among biotopes was tested for significance using the adonis function in vegan.

Non-metric Multi-Dimensional Scaling (NMDS) was performed using the metaMDS function, available in the Vegan package65 of the R software66 based on Bray-Curtis distances, associated to Permanova (Permutational multivariate analysis of variance) using the adonis function, to explore the difference in community composition in the different treatments.

Non-parametric MANOVA (999 permutations, Bray Curtis matrix) using the adonis function of R was used to test whether the soil-compost mixture and fertilized soil differ in relative abundances of bacteria classes and whether grouping based on genera abundances is significant.

All PerMANOVA analyses were performed in R using the "adonis" function from the vegan package [62].

Variation in OTU composition among treatments was tested for significance using the adonis function in vegan.

From the FastUnifrac distance matrix the amount of variance that each clinical variable e.g. sample collection method, age etc. contributed to the dataset was calculated using the adonis function of the vegan package in R [26].

We first used the adonis function in the vegan R package to test the effect of host species identity on BCD, MNTD and Unifrac distance.

We used the Adonis function of the R vegan package to determine the overall amount and significance of differences between controls and CD before EEN.

A Bray-Curtis dissimilarity matrix constructed from counts of arthropod herbivores on aspen genotypes (response variable) and tested for effects of tree sex (independent variable) using npMANOVA in the adonis function implemented in the R package vegan [ 61].

The adonis function is an analysis of variance with distance matrices using permutations that partitions distance matrices among sources of variation; in this case treatments.

The adonis function also returns a partial-R2, which is an estimate of the proportion of variance explained by the variable.