| syntab | R Documentation | 
Calculate and display relative or absolute frequency tables with or without use of function multipatt from package indicspecies
syntab(veg, clust, type = c('rel','abs','mean.cover'), mupa, dec=0, refl, ...)
## S3 method for class 'syntab'
print(x, zero.print = ".", trait, limit = 1, minstat = 0, alpha = 0.05, ...)
| veg | Vegetation dataframe | 
| clust | Vector with cluster information with length equal to number of rows of veg | 
| type | Relative or absolute frequency, mean species response values or strength of association. | 
| mupa | Either logical for (not) using multipatt from package indicspecies to detect significance of cluster association strength or supply output from previous use of multipatt. | 
| dec | Number of decimals in result. | 
| refl | Name of Turboveg taxonomic reference list to use for fullnames. | 
| ... | additional arguments | 
| x | Object from function syntab | 
| zero.print | Replacement for zero values. | 
| trait | Optional vector of trait values to be plotted behind the species. | 
| limit | Minimum value to display. | 
| minstat | Minimal indicator value | 
| alpha | Significance threshold. | 
Florian Jansen florian.jansen@uni-rostock.de
Package indicspecies with function multipatt for indicator species analysis along multiple cluster combinations
## Not run: 
 elbaue <- tv.veg('elbaue')
 elbaue.env <- tv.site('elbaue')
 clust <- vector('integer', nrow(elbaue.env))
 clust[elbaue.env$MGL < -50 & elbaue.env$SDGL < 50] <- 1
 clust[elbaue.env$MGL < -50 & elbaue.env$SDGL >= 50] <- 2
 clust[elbaue.env$MGL >= -50 & elbaue.env$SDGL >= 50] <- 3
 clust[elbaue.env$MGL >= -50 & elbaue.env$SDGL < 50] <- 4
 levels(clust) <- c('dry.ld','dry.hd', 'wet.hd','wet.ld')
 traits <- tv.traits()
 m <- match(rownames(st$syntab), traits$LETTERCODE, nomatch = 0)
 trait <- traits[m, c("OEK_F","OEK_N")]
 rownames(trait) <- traits$LETTERCODE[m]
 st <- syntab(elbaue, clust, mupa=TRUE)
 print(st, limit=30, trait=trait)
 #'  Manipulation of the syntaxonomic table
 sttable <- st$syntab
 sttable <- sttable[sttable$p.value < 0.05 & !is.na(sttable$p.value),
 !names(sttable) %in% c('stat')]
 taxa <- tax(rownames(sttable))
 rownames(sttable) <- taxa[match(rownames(sttable), taxa$LETTERCODE, nomatch = 0),'TaxonName']
 write.csv(sttable, 'sttable.csv')
## End(Not run)
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