LorMe (version 1.2.1)

structure_plot: Visualize microbial community composition structure based on tax summary object

Description

Function for visualization of microbial structure with PCAplot, PCoAplot and NMDSplot

Usage

structure_plot(
  taxobj,
  taxlevel,
  ptsize = 2,
  diagram = NULL,
  ellipse.level = 0.85,
  facet_row = NULL
)

Value

Microbial structure analysis object.

Arguments

taxobj

Configured tax summary objects.See in object_config.

taxlevel

taxonomy levels used for visualization.Must be one of c("Domain","Phylum","Class","Order","Family","Genus","Species","Base").

ptsize

Numeric, default: 2. Size of point in plot. See geom_point for details.

diagram

Character, default: NULL. A character indicating group diagram, should be in c("ellipse", "stick", "polygon").

ellipse.level

Numeric, default: 0.85. The level at which to draw an ellipse, or, if type = "euclid", the radius of the circle to be drawn. See stat_ellipse for details.

facet_row

Numeric, default: NULL. Number of rows when wrap panels. See facet_wrap for details.

Examples

###data preparation####
data("Two_group")

###analysis####
set.seed(999)
community_structure<- structure_plot(taxobj = Two_group,taxlevel = "Base")
 #check output list in console (not run)
 ######Output list##
 #####Plot#
 ####PCAplot:named as('PCA_Plot')(1/3)
 ####PCoAplot:named as('PCoA_Plot')(2/3)
 ####NMDSplot:named as('NMDS_Plot')(3/3)
 #####Analysis object#
 ####PCA object:named as('PCA_object')
 ####PCoA object:named as('PCoA_object')
 ####NMDS object:named as ('NMDS_object')
 #####Coordinates dataframe#
 ####PCA Coordinates dataframe:named as('PCA_coordinates')
 ####PCoA Coordinates dataframe:named as('PCoA_coordinates')
 ####NMDS Coordinates dataframe:named as('NMDS_coordinates')
 ######Done##
 #check PERMANOVA results
 community_structure$PERMANOVA_statistics

 #extract plot
 community_structure$PCA_Plot
 community_structure$PCoA_Plot
 community_structure$NMDS_Plot

 #extract object
 PCA_obj<- community_structure$PCA_object
 print(PCA_obj)

 #extract coordinates frame
 PCA_coord<- community_structure$PCA_coordinates
 head(PCA_coord)

 #stick plot
 set.seed(999)
 community_structure<- structure_plot(taxobj = Two_group,taxlevel = "Base",diagram = "stick")
 community_structure$PCoA_Plot

 #faced form
 data("Facet_group")
 set.seed(999)
 community_structure<- structure_plot(taxobj = Facet_group,taxlevel = "Genus",diagram = "stick")
 community_structure$PERMANOVA_statistics
 community_structure$PCA_Plot
 community_structure$PCoA_Plot
 community_structure$NMDS_Plot