trans_abund: Create 'trans_abund' object for plotting taxonomic abundance.
In microeco: Microbial Community Ecology Data Analysis
trans_abund R Documentation
Create trans_abund object for plotting taxonomic abundance.
Description
This class is a wrapper for the taxonomic abundance transformations and visualization.
The converted data style is the long-format for ggplot2 plot.
The plotting methods include bar plot, boxplot, heatmap, pie chart and line chart.
Methods
Public methods
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Method new()
Usage
trans_abund$new(
dataset = NULL,
taxrank = "Phylum",
show = 0,
ntaxa = 10,
groupmean = NULL,
group_morestats = FALSE,
delete_taxonomy_lineage = TRUE,
delete_taxonomy_prefix = TRUE,
prefix = NULL,
use_percentage = TRUE,
input_taxaname = NULL,
high_level = NULL,
high_level_fix_nsub = NULL
)
Arguments
datasetdefault NULL; the object of microtable class.
taxrankdefault "Phylum"; taxonomic rank.
showdefault 0; the relative abundance threshold for filtering the taxa with low abundance.
ntaxadefault 10; how many taxa are selected to show. Taxa are ordered by abundance from high to low.
This parameter does not conflict with the parameter show. Both can be used. ntaxa = NULL means it is unavailable.
groupmeandefault NULL; calculate mean abundance for each group. Select a column name in microtable$sample_table.
group_morestatsdefault FALSE; only available when groupmean parameter is provided;
Whether output more statistics for each group, including min, max, median and quantile;
Thereinto, quantile25 and quantile75 denote 25% and 75% quantiles, respectively.
delete_taxonomy_lineagedefault TRUE; whether delete the taxonomy lineage in front of the target level.
delete_taxonomy_prefixdefault TRUE; whether delete the prefix of taxonomy, such as "g__".
prefixdefault NULL; character string; available when delete_taxonomy_prefix = T;
default NULL reprensents using the "letter+__", e.g. "k__" for Phylum level;
Please provide the customized prefix when it is not standard, otherwise the program can not correctly recognize it.
use_percentagedefault TRUE; show the abundance percentage.
input_taxanamedefault NULL; character vector; input taxa names for selecting some taxa.
high_leveldefault NULL; a taxonomic rank, such as "Phylum", used to add the taxonomic information of higher level.
It is necessary for the legend with nested taxonomic levels in the bar plot.
high_level_fix_nsubdefault NULL; an integer, used to fix the number of selected abundant taxa in each taxon from higher taxonomic level.
If the total number under one taxon of higher level is less than the high_level_fix_nsub, the total number will be used.
When high_level_fix_nsub is provided, the taxa number of higher level is calculated as: ceiling(ntaxa/high_level_fix_nsub).
Note that ntaxa means either the parameter ntaxa or the taxonomic number obtained by filtering according to the show parameter.
Returns
data_abund stored in the object. The column 'all_mean_abund' reprensents mean relative abundance across all the samples.
So the values in one taxon are all same across all the samples.
If the sum of column 'Abundance' in one sample is larger than 1, the 'Abundance', 'SD' and 'SE' has been multiplied by 100.
Examples
\donttest{
data(dataset)
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 10)
}
Method plot_bar()
Bar plot.
Usage
trans_abund$plot_bar(
color_values = RColorBrewer::brewer.pal(8, "Dark2"),
bar_type = "full",
others_color = "grey90",
facet = NULL,
order_x = NULL,
x_axis_name = NULL,
barwidth = NULL,
use_alluvium = FALSE,
clustering = FALSE,
clustering_plot = FALSE,
cluster_plot_width = 0.2,
facet_color = "grey95",
strip_text = 11,
legend_text_italic = FALSE,
xtext_angle = 0,
xtext_size = 10,
xtext_keep = TRUE,
xtitle_keep = TRUE,
ytitle_size = 17,
coord_flip = FALSE,
ggnested = FALSE,
high_level_add_other = FALSE
)
Arguments
color_valuesdefault RColorBrewer::brewer.pal(8, "Dark2"); colors palette for the bars.
bar_typedefault "full"; "full" or "notfull"; if "full", total abundance are summed to 1 or 100 percentage.
others_colordefault "grey90"; the color for "others" taxa.
facetdefault NULL; a character vector for the facet; group column name of sample_table, such as, "Group";
If multiple facets are needed, please provide ordered names, such as c("Group", "Type").
The latter should have a finer scale than the former one;
Please adjust the facet orders in the plot by assigning factors in sample_table before creating trans_abund object or
assigning factors in the data_abund table of trans_abund object.
When multiple facets are used, please first install package ggh4x using the command install.packages("ggh4x").
order_xdefault NULL; vector; used to order the sample names in x axis; must be the samples vector, such as c("S1", "S3", "S2").
x_axis_nameNULL; a character string; a column name of sample_table in dataset; used to show the sample names in x axis.
barwidthdefault NULL; bar width, see width in geom_bar.
use_alluviumdefault FALSE; whether add alluvium plot. If TRUE, please first install ggalluvial package.
clusteringdefault FALSE; whether order samples by the clustering.
clustering_plotdefault FALSE; whether add clustering plot.
If clustering_plot = TRUE, clustering will be also TRUE in any case for the clustering.
cluster_plot_widthdefault 0.2, the dendrogram plot width; available when clustering_plot = TRUE.
facet_colordefault "grey95"; facet background color.
strip_textdefault 11; facet text size.
legend_text_italicdefault FALSE; whether use italic in legend.
xtext_angledefault 0; number ranging from 0 to 90; used to adjust x axis text angle to reduce text overlap;
xtext_sizedefault 10; x axis text size.
xtext_keepdefault TRUE; whether retain x text.
xtitle_keepdefault TRUE; whether retain x title.
ytitle_sizedefault 17; y axis title size.
coord_flipdefault FALSE; whether flip cartesian coordinates so that horizontal becomes vertical, and vertical becomes horizontal.
ggnesteddefault FALSE; whether use nested legend. Need ggnested package to be installed (https://github.com/gmteunisse/ggnested).
To make it available, please assign high_level parameter when creating the object.
high_level_add_otherdefault FALSE; whether add 'Others' (all the unknown taxa) in each taxon of higher taxonomic level.
Only available when ggnested = TRUE.
Returns
ggplot2 object.
Examples
\donttest{
t1$plot_bar(facet = "Group", xtext_keep = FALSE)
}
Method plot_heatmap()
Plot the heatmap.
Usage
trans_abund$plot_heatmap(
color_values = rev(RColorBrewer::brewer.pal(n = 11, name = "RdYlBu")),
facet = NULL,
x_axis_name = NULL,
order_x = NULL,
withmargin = TRUE,
plot_numbers = FALSE,
plot_text_size = 4,
plot_breaks = NULL,
margincolor = "white",
plot_colorscale = "log10",
min_abundance = 0.01,
max_abundance = NULL,
strip_text = 11,
xtext_size = 10,
ytext_size = 11,
xtext_keep = TRUE,
xtitle_keep = TRUE,
grid_clean = TRUE,
xtext_angle = 0,
legend_title = "% Relative\nAbundance",
pheatmap = FALSE,
...
)
Arguments
color_valuesdefault rev(RColorBrewer::brewer.pal(n = 11, name = "RdYlBu"));
colors palette for the plotting.
facetdefault NULL; a character vector for the facet; a group column name of sample_table, such as, "Group";
If multiple facets are needed, please provide ordered names, such as c("Group", "Type").
The latter should have a finer scale than the former one;
Please adjust the facet orders in the plot by assigning factors in sample_table before creating trans_abund object or
assigning factors in the data_abund table of trans_abund object.
When multiple facets are used, please first install package ggh4x using the command install.packages("ggh4x").
x_axis_nameNULL; a character string; a column name of sample_table used to show the sample names in x axis.
order_xdefault NULL; vector; used to order the sample names in x axis; must be the samples vector, such as, c("S1", "S3", "S2").
withmargindefault TRUE; whether retain the tile margin.
plot_numbersdefault FALSE; whether plot the number in heatmap.
plot_text_sizedefault 4; If plot_numbers TRUE, text size in plot.
plot_breaksdefault NULL; The legend breaks.
margincolordefault "white"; If withmargin TRUE, use this as the margin color.
plot_colorscaledefault "log10"; color scale.
min_abundancedefault .01; the minimum abundance percentage in plot.
max_abundancedefault NULL; the maximum abundance percentage in plot, NULL reprensent the max percentage.
strip_textdefault 11; facet text size.
xtext_sizedefault 10; x axis text size.
ytext_sizedefault 11; y axis text size.
xtext_keepdefault TRUE; whether retain x text.
xtitle_keepdefault TRUE; whether retain x title.
grid_cleandefault TRUE; whether remove grid lines.
xtext_angledefault 0; number ranging from 0 to 90; used to adjust x axis text angle to reduce text overlap;
legend_titledefault "% Relative\nAbundance"; legend title text.
pheatmapdefault FALSE; whether use pheatmap package to plot the heatmap.
...paremeters pass to pheatmap when pheatmap = TRUE.
Returns
ggplot2 object or grid object based on pheatmap.
Examples
\donttest{
t1 <- trans_abund$new(dataset = dataset, taxrank = "Genus", ntaxa = 40)
t1$plot_heatmap(facet = "Group", xtext_keep = FALSE, withmargin = FALSE)
}
Method plot_box()
Box plot.
Usage
trans_abund$plot_box(
color_values = RColorBrewer::brewer.pal(8, "Dark2"),
group = NULL,
show_point = FALSE,
point_color = "black",
point_size = 3,
point_alpha = 0.3,
plot_flip = FALSE,
boxfill = TRUE,
middlecolor = "grey95",
middlesize = 1,
xtext_angle = 0,
xtext_size = 10,
ytitle_size = 17,
...
)
Arguments
color_valuesdefault RColorBrewer::brewer.pal(8, "Dark2"); colors palette for the box.
groupdefault NULL; a column name of sample table to show abundance across groups.
show_pointdefault FALSE; whether show points in plot.
point_colordefault "black"; If show_point TRUE; use the color
point_sizedefault 3; If show_point TRUE; use the size
point_alphadefault .3; If show_point TRUE; use the transparency.
plot_flipdefault FALSE; Whether rotate plot.
boxfilldefault TRUE; Whether fill the box with colors.
middlecolordefault "grey95"; The middle line color.
middlesizedefault 1; The middle line size.
xtext_angledefault 0; number ranging from 0 to 90; used to adjust x axis text angle to reduce text overlap;
xtext_sizedefault 10; x axis text size.
ytitle_sizedefault 17; y axis title size.
...parameters pass to geom_boxplot function.
Returns
ggplot2 object.
Examples
\donttest{
t1$plot_box(group = "Group")
}
Method plot_line()
Plot the line chart.
Usage
trans_abund$plot_line(
color_values = RColorBrewer::brewer.pal(8, "Dark2"),
plot_SE = TRUE,
position = position_dodge(0.1),
errorbar_size = 1,
errorbar_width = 0.1,
point_size = 3,
point_alpha = 0.8,
line_size = 0.8,
line_alpha = 0.8,
line_type = 1,
xtext_angle = 0,
xtext_size = 10,
ytitle_size = 17
)
Arguments
color_valuesdefault RColorBrewer::brewer.pal(8, "Dark2"); colors palette for the points and lines.
plot_SEdefault TRUE; TRUE: the errorbar is mean±se; FALSE: the errorbar is mean±sd.
positiondefault position_dodge(0.1); Position adjustment, either as a string (such as "identity"), or the result of a call to a position adjustment function.
errorbar_sizedefault 1; errorbar line size.
errorbar_widthdefault 0.1; errorbar width.
point_sizedefault 3; point size for taxa.
point_alphadefault 0.8; point transparency.
line_sizedefault 0.8; line size.
line_alphadefault 0.8; line transparency.
line_typedefault 1; an integer; line type.
xtext_angledefault 0; number ranging from 0 to 90; used to adjust x axis text angle to reduce text overlap;
xtext_sizedefault 10; x axis text size.
ytitle_sizedefault 17; y axis title size.
Returns
ggplot2 object.
Examples
\donttest{
t1 <- trans_abund$new(dataset = dataset, taxrank = "Genus", ntaxa = 5)
t1$plot_line(point_size = 3)
t1 <- trans_abund$new(dataset = dataset, taxrank = "Genus", ntaxa = 5, groupmean = "Group")
t1$plot_line(point_size = 5, errorbar_size = 1, xtext_angle = 30)
}
Method plot_pie()
Pie chart.
Usage
trans_abund$plot_pie(
color_values = RColorBrewer::brewer.pal(8, "Dark2"),
facet_nrow = 1,
strip_text = 11,
add_label = FALSE,
legend_text_italic = FALSE
)
Arguments
color_valuesdefault RColorBrewer::brewer.pal(8, "Dark2"); colors palette for each section.
facet_nrowdefault 1; how many rows in the plot.
strip_textdefault 11; sample title size.
add_labeldefault FALSE; Whether add the percentage label in each section of pie chart.
legend_text_italicdefault FALSE; whether use italic in legend.
Returns
ggplot2 object.
Examples
\donttest{
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_pie(facet_nrow = 1)
}
Method plot_donut()
Donut chart based on the ggpubr::ggdonutchart function.
Usage
trans_abund$plot_donut(
color_values = RColorBrewer::brewer.pal(8, "Dark2"),
label = TRUE,
facet_nrow = 1,
legend_text_italic = FALSE,
...
)
Arguments
color_valuesdefault RColorBrewer::brewer.pal(8, "Dark2"); colors palette for the donut.
labeldefault TRUE; whether show the percentage label.
facet_nrowdefault 1; how many rows in the plot.
legend_text_italicdefault FALSE; whether use italic in legend.
...parameters passed to ggpubr::ggdonutchart.
Returns
combined ggplot2 objects list, generated by ggpubr::ggarrange function.
Examples
\dontrun{
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_donut(label = TRUE)
}
Method plot_radar()
Radar chart based on the ggradar package (https://github.com/ricardo-bion/ggradar).
Usage
trans_abund$plot_radar(
color_values = RColorBrewer::brewer.pal(8, "Dark2"),
...
)
Arguments
color_valuesdefault RColorBrewer::brewer.pal(8, "Dark2"); colors palette for samples.
...parameters passed to ggradar::ggradar function except group.colours parameter.
Returns
ggplot2 object.
Examples
\dontrun{
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_radar()
}
Method plot_tern()
Ternary diagrams based on the ggtern package.
Usage
trans_abund$plot_tern(
color_values = RColorBrewer::brewer.pal(8, "Dark2"),
color_legend_guide_size = 4
)
Arguments
color_valuesdefault RColorBrewer::brewer.pal(8, "Dark2"); colors palette for the samples.
color_legend_guide_sizedefault 4; The size of legend guide for color.
Returns
ggplot2 object.
Examples
\dontrun{
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_tern()
}
Method print()
Print the trans_abund object.
Usage
trans_abund$print()
Method clone()
The objects of this class are cloneable with this method.
Usage
trans_abund$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
## ------------------------------------------------
## Method `trans_abund$new`
## ------------------------------------------------
data(dataset)
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 10)
## ------------------------------------------------
## Method `trans_abund$plot_bar`
## ------------------------------------------------
t1$plot_bar(facet = "Group", xtext_keep = FALSE)
## ------------------------------------------------
## Method `trans_abund$plot_heatmap`
## ------------------------------------------------
t1 <- trans_abund$new(dataset = dataset, taxrank = "Genus", ntaxa = 40)
t1$plot_heatmap(facet = "Group", xtext_keep = FALSE, withmargin = FALSE)
## ------------------------------------------------
## Method `trans_abund$plot_box`
## ------------------------------------------------
t1$plot_box(group = "Group")
## ------------------------------------------------
## Method `trans_abund$plot_line`
## ------------------------------------------------
t1 <- trans_abund$new(dataset = dataset, taxrank = "Genus", ntaxa = 5)
t1$plot_line(point_size = 3)
t1 <- trans_abund$new(dataset = dataset, taxrank = "Genus", ntaxa = 5, groupmean = "Group")
t1$plot_line(point_size = 5, errorbar_size = 1, xtext_angle = 30)
## ------------------------------------------------
## Method `trans_abund$plot_pie`
## ------------------------------------------------
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_pie(facet_nrow = 1)
## ------------------------------------------------
## Method `trans_abund$plot_donut`
## ------------------------------------------------
## Not run:
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_donut(label = TRUE)
## End(Not run)
## ------------------------------------------------
## Method `trans_abund$plot_radar`
## ------------------------------------------------
## Not run:
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_radar()
## End(Not run)
## ------------------------------------------------
## Method `trans_abund$plot_tern`
## ------------------------------------------------
## Not run:
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_tern()
## End(Not run)
microeco documentation built on Nov. 18, 2023, 9:06 a.m.
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| trans_abund | R Documentation |
Create trans_abund object for plotting taxonomic abundance.
Description
This class is a wrapper for the taxonomic abundance transformations and visualization.
The converted data style is the long-format for ggplot2 plot.
The plotting methods include bar plot, boxplot, heatmap, pie chart and line chart.
Methods
Public methods
Method new()
Usage
trans_abund$new( dataset = NULL, taxrank = "Phylum", show = 0, ntaxa = 10, groupmean = NULL, group_morestats = FALSE, delete_taxonomy_lineage = TRUE, delete_taxonomy_prefix = TRUE, prefix = NULL, use_percentage = TRUE, input_taxaname = NULL, high_level = NULL, high_level_fix_nsub = NULL )
Arguments
datasetdefault NULL; the object of
microtableclass.taxrankdefault "Phylum"; taxonomic rank.
showdefault 0; the relative abundance threshold for filtering the taxa with low abundance.
ntaxadefault 10; how many taxa are selected to show. Taxa are ordered by abundance from high to low. This parameter does not conflict with the parameter
show. Both can be used.ntaxa = NULLmeans it is unavailable.groupmeandefault NULL; calculate mean abundance for each group. Select a column name in
microtable$sample_table.group_morestatsdefault FALSE; only available when
groupmeanparameter is provided; Whether output more statistics for each group, including min, max, median and quantile; Thereinto, quantile25 and quantile75 denote 25% and 75% quantiles, respectively.delete_taxonomy_lineagedefault TRUE; whether delete the taxonomy lineage in front of the target level.
delete_taxonomy_prefixdefault TRUE; whether delete the prefix of taxonomy, such as "g__".
prefixdefault NULL; character string; available when
delete_taxonomy_prefix = T; default NULL reprensents using the "letter+__", e.g. "k__" for Phylum level; Please provide the customized prefix when it is not standard, otherwise the program can not correctly recognize it.use_percentagedefault TRUE; show the abundance percentage.
input_taxanamedefault NULL; character vector; input taxa names for selecting some taxa.
high_leveldefault NULL; a taxonomic rank, such as "Phylum", used to add the taxonomic information of higher level. It is necessary for the legend with nested taxonomic levels in the bar plot.
high_level_fix_nsubdefault NULL; an integer, used to fix the number of selected abundant taxa in each taxon from higher taxonomic level. If the total number under one taxon of higher level is less than the high_level_fix_nsub, the total number will be used. When
high_level_fix_nsubis provided, the taxa number of higher level is calculated as:ceiling(ntaxa/high_level_fix_nsub). Note thatntaxameans either the parameterntaxaor the taxonomic number obtained by filtering according to theshowparameter.
Returns
data_abund stored in the object. The column 'all_mean_abund' reprensents mean relative abundance across all the samples.
So the values in one taxon are all same across all the samples.
If the sum of column 'Abundance' in one sample is larger than 1, the 'Abundance', 'SD' and 'SE' has been multiplied by 100.
Examples
\donttest{
data(dataset)
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 10)
}
Method plot_bar()
Bar plot.
Usage
trans_abund$plot_bar( color_values = RColorBrewer::brewer.pal(8, "Dark2"), bar_type = "full", others_color = "grey90", facet = NULL, order_x = NULL, x_axis_name = NULL, barwidth = NULL, use_alluvium = FALSE, clustering = FALSE, clustering_plot = FALSE, cluster_plot_width = 0.2, facet_color = "grey95", strip_text = 11, legend_text_italic = FALSE, xtext_angle = 0, xtext_size = 10, xtext_keep = TRUE, xtitle_keep = TRUE, ytitle_size = 17, coord_flip = FALSE, ggnested = FALSE, high_level_add_other = FALSE )
Arguments
color_valuesdefault
RColorBrewer::brewer.pal(8, "Dark2"); colors palette for the bars.bar_typedefault "full"; "full" or "notfull"; if
"full", total abundance are summed to 1 or 100 percentage.others_colordefault "grey90"; the color for "others" taxa.
facetdefault NULL; a character vector for the facet; group column name of
sample_table, such as,"Group"; If multiple facets are needed, please provide ordered names, such asc("Group", "Type"). The latter should have a finer scale than the former one; Please adjust the facet orders in the plot by assigning factors insample_tablebefore creatingtrans_abundobject or assigning factors in thedata_abundtable oftrans_abundobject. When multiple facets are used, please first install packageggh4xusing the commandinstall.packages("ggh4x").order_xdefault NULL; vector; used to order the sample names in x axis; must be the samples vector, such as
c("S1", "S3", "S2").x_axis_nameNULL; a character string; a column name of sample_table in dataset; used to show the sample names in x axis.
barwidthdefault NULL; bar width, see
widthingeom_bar.use_alluviumdefault FALSE; whether add alluvium plot. If
TRUE, please first installggalluvialpackage.clusteringdefault FALSE; whether order samples by the clustering.
clustering_plotdefault FALSE; whether add clustering plot. If
clustering_plot = TRUE,clusteringwill be also TRUE in any case for the clustering.cluster_plot_widthdefault 0.2, the dendrogram plot width; available when
clustering_plot = TRUE.facet_colordefault "grey95"; facet background color.
strip_textdefault 11; facet text size.
legend_text_italicdefault FALSE; whether use italic in legend.
xtext_angledefault 0; number ranging from 0 to 90; used to adjust x axis text angle to reduce text overlap;
xtext_sizedefault 10; x axis text size.
xtext_keepdefault TRUE; whether retain x text.
xtitle_keepdefault TRUE; whether retain x title.
ytitle_sizedefault 17; y axis title size.
coord_flipdefault FALSE; whether flip cartesian coordinates so that horizontal becomes vertical, and vertical becomes horizontal.
ggnesteddefault FALSE; whether use nested legend. Need
ggnestedpackage to be installed (https://github.com/gmteunisse/ggnested). To make it available, please assignhigh_levelparameter when creating the object.high_level_add_otherdefault FALSE; whether add 'Others' (all the unknown taxa) in each taxon of higher taxonomic level. Only available when
ggnested = TRUE.
Returns
ggplot2 object.
Examples
\donttest{
t1$plot_bar(facet = "Group", xtext_keep = FALSE)
}
Method plot_heatmap()
Plot the heatmap.
Usage
trans_abund$plot_heatmap( color_values = rev(RColorBrewer::brewer.pal(n = 11, name = "RdYlBu")), facet = NULL, x_axis_name = NULL, order_x = NULL, withmargin = TRUE, plot_numbers = FALSE, plot_text_size = 4, plot_breaks = NULL, margincolor = "white", plot_colorscale = "log10", min_abundance = 0.01, max_abundance = NULL, strip_text = 11, xtext_size = 10, ytext_size = 11, xtext_keep = TRUE, xtitle_keep = TRUE, grid_clean = TRUE, xtext_angle = 0, legend_title = "% Relative\nAbundance", pheatmap = FALSE, ... )
Arguments
color_valuesdefault rev(RColorBrewer::brewer.pal(n = 11, name = "RdYlBu")); colors palette for the plotting.
facetdefault NULL; a character vector for the facet; a group column name of
sample_table, such as,"Group"; If multiple facets are needed, please provide ordered names, such asc("Group", "Type"). The latter should have a finer scale than the former one; Please adjust the facet orders in the plot by assigning factors insample_tablebefore creatingtrans_abundobject or assigning factors in thedata_abundtable oftrans_abundobject. When multiple facets are used, please first install packageggh4xusing the commandinstall.packages("ggh4x").x_axis_nameNULL; a character string; a column name of sample_table used to show the sample names in x axis.
order_xdefault NULL; vector; used to order the sample names in x axis; must be the samples vector, such as, c("S1", "S3", "S2").
withmargindefault TRUE; whether retain the tile margin.
plot_numbersdefault FALSE; whether plot the number in heatmap.
plot_text_sizedefault 4; If plot_numbers TRUE, text size in plot.
plot_breaksdefault NULL; The legend breaks.
margincolordefault "white"; If withmargin TRUE, use this as the margin color.
plot_colorscaledefault "log10"; color scale.
min_abundancedefault .01; the minimum abundance percentage in plot.
max_abundancedefault NULL; the maximum abundance percentage in plot, NULL reprensent the max percentage.
strip_textdefault 11; facet text size.
xtext_sizedefault 10; x axis text size.
ytext_sizedefault 11; y axis text size.
xtext_keepdefault TRUE; whether retain x text.
xtitle_keepdefault TRUE; whether retain x title.
grid_cleandefault TRUE; whether remove grid lines.
xtext_angledefault 0; number ranging from 0 to 90; used to adjust x axis text angle to reduce text overlap;
legend_titledefault "% Relative\nAbundance"; legend title text.
pheatmapdefault FALSE; whether use pheatmap package to plot the heatmap.
...paremeters pass to pheatmap when pheatmap = TRUE.
Returns
ggplot2 object or grid object based on pheatmap.
Examples
\donttest{
t1 <- trans_abund$new(dataset = dataset, taxrank = "Genus", ntaxa = 40)
t1$plot_heatmap(facet = "Group", xtext_keep = FALSE, withmargin = FALSE)
}
Method plot_box()
Box plot.
Usage
trans_abund$plot_box( color_values = RColorBrewer::brewer.pal(8, "Dark2"), group = NULL, show_point = FALSE, point_color = "black", point_size = 3, point_alpha = 0.3, plot_flip = FALSE, boxfill = TRUE, middlecolor = "grey95", middlesize = 1, xtext_angle = 0, xtext_size = 10, ytitle_size = 17, ... )
Arguments
color_valuesdefault
RColorBrewer::brewer.pal(8, "Dark2"); colors palette for the box.groupdefault NULL; a column name of sample table to show abundance across groups.
show_pointdefault FALSE; whether show points in plot.
point_colordefault "black"; If show_point TRUE; use the color
point_sizedefault 3; If show_point TRUE; use the size
point_alphadefault .3; If show_point TRUE; use the transparency.
plot_flipdefault FALSE; Whether rotate plot.
boxfilldefault TRUE; Whether fill the box with colors.
middlecolordefault "grey95"; The middle line color.
middlesizedefault 1; The middle line size.
xtext_angledefault 0; number ranging from 0 to 90; used to adjust x axis text angle to reduce text overlap;
xtext_sizedefault 10; x axis text size.
ytitle_sizedefault 17; y axis title size.
...parameters pass to
geom_boxplotfunction.
Returns
ggplot2 object.
Examples
\donttest{
t1$plot_box(group = "Group")
}
Method plot_line()
Plot the line chart.
Usage
trans_abund$plot_line( color_values = RColorBrewer::brewer.pal(8, "Dark2"), plot_SE = TRUE, position = position_dodge(0.1), errorbar_size = 1, errorbar_width = 0.1, point_size = 3, point_alpha = 0.8, line_size = 0.8, line_alpha = 0.8, line_type = 1, xtext_angle = 0, xtext_size = 10, ytitle_size = 17 )
Arguments
color_valuesdefault
RColorBrewer::brewer.pal(8, "Dark2"); colors palette for the points and lines.plot_SEdefault TRUE; TRUE: the errorbar is
mean±se; FALSE: the errorbar ismean±sd.positiondefault position_dodge(0.1); Position adjustment, either as a string (such as "identity"), or the result of a call to a position adjustment function.
errorbar_sizedefault 1; errorbar line size.
errorbar_widthdefault 0.1; errorbar width.
point_sizedefault 3; point size for taxa.
point_alphadefault 0.8; point transparency.
line_sizedefault 0.8; line size.
line_alphadefault 0.8; line transparency.
line_typedefault 1; an integer; line type.
xtext_angledefault 0; number ranging from 0 to 90; used to adjust x axis text angle to reduce text overlap;
xtext_sizedefault 10; x axis text size.
ytitle_sizedefault 17; y axis title size.
Returns
ggplot2 object.
Examples
\donttest{
t1 <- trans_abund$new(dataset = dataset, taxrank = "Genus", ntaxa = 5)
t1$plot_line(point_size = 3)
t1 <- trans_abund$new(dataset = dataset, taxrank = "Genus", ntaxa = 5, groupmean = "Group")
t1$plot_line(point_size = 5, errorbar_size = 1, xtext_angle = 30)
}
Method plot_pie()
Pie chart.
Usage
trans_abund$plot_pie( color_values = RColorBrewer::brewer.pal(8, "Dark2"), facet_nrow = 1, strip_text = 11, add_label = FALSE, legend_text_italic = FALSE )
Arguments
color_valuesdefault
RColorBrewer::brewer.pal(8, "Dark2"); colors palette for each section.facet_nrowdefault 1; how many rows in the plot.
strip_textdefault 11; sample title size.
add_labeldefault FALSE; Whether add the percentage label in each section of pie chart.
legend_text_italicdefault FALSE; whether use italic in legend.
Returns
ggplot2 object.
Examples
\donttest{
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_pie(facet_nrow = 1)
}
Method plot_donut()
Donut chart based on the ggpubr::ggdonutchart function.
Usage
trans_abund$plot_donut( color_values = RColorBrewer::brewer.pal(8, "Dark2"), label = TRUE, facet_nrow = 1, legend_text_italic = FALSE, ... )
Arguments
color_valuesdefault
RColorBrewer::brewer.pal(8, "Dark2"); colors palette for the donut.labeldefault TRUE; whether show the percentage label.
facet_nrowdefault 1; how many rows in the plot.
legend_text_italicdefault FALSE; whether use italic in legend.
...parameters passed to
ggpubr::ggdonutchart.
Returns
combined ggplot2 objects list, generated by ggpubr::ggarrange function.
Examples
\dontrun{
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_donut(label = TRUE)
}
Method plot_radar()
Radar chart based on the ggradar package (https://github.com/ricardo-bion/ggradar).
Usage
trans_abund$plot_radar( color_values = RColorBrewer::brewer.pal(8, "Dark2"), ... )
Arguments
color_valuesdefault
RColorBrewer::brewer.pal(8, "Dark2"); colors palette for samples....parameters passed to
ggradar::ggradarfunction except group.colours parameter.
Returns
ggplot2 object.
Examples
\dontrun{
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_radar()
}
Method plot_tern()
Ternary diagrams based on the ggtern package.
Usage
trans_abund$plot_tern( color_values = RColorBrewer::brewer.pal(8, "Dark2"), color_legend_guide_size = 4 )
Arguments
color_valuesdefault
RColorBrewer::brewer.pal(8, "Dark2"); colors palette for the samples.color_legend_guide_sizedefault 4; The size of legend guide for color.
Returns
ggplot2 object.
Examples
\dontrun{
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_tern()
}
Method print()
Print the trans_abund object.
Usage
trans_abund$print()
Method clone()
The objects of this class are cloneable with this method.
Usage
trans_abund$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
## ------------------------------------------------
## Method `trans_abund$new`
## ------------------------------------------------
data(dataset)
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 10)
## ------------------------------------------------
## Method `trans_abund$plot_bar`
## ------------------------------------------------
t1$plot_bar(facet = "Group", xtext_keep = FALSE)
## ------------------------------------------------
## Method `trans_abund$plot_heatmap`
## ------------------------------------------------
t1 <- trans_abund$new(dataset = dataset, taxrank = "Genus", ntaxa = 40)
t1$plot_heatmap(facet = "Group", xtext_keep = FALSE, withmargin = FALSE)
## ------------------------------------------------
## Method `trans_abund$plot_box`
## ------------------------------------------------
t1$plot_box(group = "Group")
## ------------------------------------------------
## Method `trans_abund$plot_line`
## ------------------------------------------------
t1 <- trans_abund$new(dataset = dataset, taxrank = "Genus", ntaxa = 5)
t1$plot_line(point_size = 3)
t1 <- trans_abund$new(dataset = dataset, taxrank = "Genus", ntaxa = 5, groupmean = "Group")
t1$plot_line(point_size = 5, errorbar_size = 1, xtext_angle = 30)
## ------------------------------------------------
## Method `trans_abund$plot_pie`
## ------------------------------------------------
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_pie(facet_nrow = 1)
## ------------------------------------------------
## Method `trans_abund$plot_donut`
## ------------------------------------------------
## Not run:
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_donut(label = TRUE)
## End(Not run)
## ------------------------------------------------
## Method `trans_abund$plot_radar`
## ------------------------------------------------
## Not run:
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_radar()
## End(Not run)
## ------------------------------------------------
## Method `trans_abund$plot_tern`
## ------------------------------------------------
## Not run:
t1 <- trans_abund$new(dataset = dataset, taxrank = "Phylum", ntaxa = 6, groupmean = "Group")
t1$plot_tern()
## End(Not run)
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