View source: R/fct_02_pre_process.R
individual_plots | R Documentation |
Takes in the merged data and other data to provide plots on individual gene names. Depening on the selections this function will either return a barplot from the grouped data or a lineplot from the individual sample.
individual_plots(
individual_data,
sample_info,
selected_gene,
gene_plot_box,
use_sd,
lab_rotate,
plots_color_select,
plot_raw
)
individual_data |
Data that has been merged with the gene info |
sample_info |
Matrix of experiment design information for grouping samples |
gene_plot_box |
TRUE/FALSE for individual sample plot or grouped data plot |
use_sd |
TRUE/FALSE for standard error or standard deviation bars on bar plot |
lab_rotate |
Numeric value indicating what angle to rotate the x-axis labels |
plots_color_select |
Vector of colors for plots |
select_gene |
List of gene(s) to be plotted |
A ggplot
object. For gene_plot_box = TRUE
the return
will be a lineplot for the expression of each individual sample for the
selected gene. If gene_plot_box = FALSE
the return will be a barplot
for the groups provided in the sample information.
merge_data()
Other plots:
PCA_plot()
,
chr_counts_ggplot()
,
chr_normalized_ggplot()
,
cor_plot()
,
draw_sample_tree()
,
eda_boxplot()
,
eda_density()
,
eda_scatter()
,
gene_counts_ggplot()
,
k_means_elbow()
,
mean_sd_plot()
,
rRNA_counts_ggplot()
,
sd_density()
,
t_SNE_plot()
,
total_counts_ggplot()
Other preprocess functions:
chr_counts_ggplot()
,
chr_normalized_ggplot()
,
eda_boxplot()
,
eda_density()
,
eda_scatter()
,
gene_counts_ggplot()
,
mean_sd_plot()
,
pre_process()
,
rRNA_counts_ggplot()
,
total_counts_ggplot()
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