microeco (version 0.5.1)

trans_venn: Create trans_venn object.

Description

This class is a wrapper for a series of venn analysis related methods, including venn result, 2- to 5-way venn diagram, more than 5-way petal plot and venn result transformations based on David et al. (2012) <doi:10.1128/AEM.01459-12>.

Methods

Public methods

• trans_venn$new()

• trans_venn$plot_venn()

• trans_venn$trans_venn_com()

• trans_venn$print()

• trans_venn$clone()

Method new()

Usage

trans_venn$new(dataset = NULL, sample_names = NULL, ratio = "numratio")

Arguments

dataset

the object of microtable Class.

sample_names

default NULL; if provided, filter the samples.

ratio

default numratio; NULL, "numratio" or "seqratio"; numratio: calculate number percentage; seqratio: calculate sequence percentage; NULL: no additional percentage.

Returns

venn_table and venn_count_abund stored in trans_venn object.

Examples

\donttest{
data(dataset)
t1 <- dataset$merge_samples(use_group = "Group")
t1 <- trans_venn$new(dataset = t1, ratio = "numratio")
}

Method plot_venn()

Plot venn diagram.

Usage

trans_venn$plot_venn(
  color_circle = RColorBrewer::brewer.pal(8, "Dark2"),
  fill_color = TRUE,
  text_size = 4.5,
  text_name_size = 6,
  text_name_position = NULL,
  alpha = 0.3,
  linesize = 1.1,
  petal_plot = FALSE,
  petal_color = "skyblue",
  petal_a = 4,
  petal_r = 1,
  petal_use_lim = c(-12, 12),
  petal_center_size = 40,
  petal_move_xy = 4,
  petal_move_k = 2.3,
  petal_move_k_count = 1.3,
  petal_text_move = 40
)

Arguments

color_circle

default RColorBrewer::brewer.pal(8, "Dark2"); color pallete

fill_color

default TRUE; whether fill the area color

text_size

default 4.5; text size in plot

text_name_size

default 6; name size in plot

text_name_position

default NULL; name position in plot

alpha

default .3; alpha for transparency

linesize

default 1.1; cycle line size

petal_plot

default FALSE; whether use petal plot.

petal_color

default "skyblue"; color of the petal

petal_a

default 4; the length of the ellipse

petal_r

default 1; scaling up the size of the ellipse

petal_use_lim

default c(-12, 12); the width of the plot

petal_center_size

default 40; petal center circle size

petal_move_xy

default 4; the distance of text to circle

petal_move_k

default 2.3; the distance of title to circle

petal_move_k_count

default 1.3; the distance of data text to circle

petal_text_move

default 40; the distance between two data text

Returns

ggplot.

Examples

\donttest{
t1$plot_venn()
}

Method trans_venn_com()

Transform venn result for the composition analysis.

Usage

trans_venn$trans_venn_com(use_OTUs_frequency = TRUE)

Arguments

use_OTUs_frequency

default TRUE; whether only use OTUs occurrence frequency, i.e. presence/absence data; if FALSE, use abundance data.

Returns

a new microtable class.

Examples

\donttest{
t2 <- t1$trans_venn_com(use_OTUs_frequency = TRUE)
}

Method print()

Print the trans_venn object.

Usage

trans_venn$print()

Method clone()

The objects of this class are cloneable with this method.

Usage

trans_venn$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# NOT RUN {
## ------------------------------------------------
## Method `trans_venn$new`
## ------------------------------------------------

# }
# NOT RUN {
data(dataset)
t1 <- dataset$merge_samples(use_group = "Group")
t1 <- trans_venn$new(dataset = t1, ratio = "numratio")
# }
# NOT RUN {
## ------------------------------------------------
## Method `trans_venn$plot_venn`
## ------------------------------------------------

# }
# NOT RUN {
t1$plot_venn()
# }
# NOT RUN {
## ------------------------------------------------
## Method `trans_venn$trans_venn_com`
## ------------------------------------------------

# }
# NOT RUN {
t2 <- t1$trans_venn_com(use_OTUs_frequency = TRUE)
# }