View ggplot
curve plots in a pdf file.
Usage
view_ggplot_pdf(
ggplot_list,
filename = "curve_plot.pdf",
ncol_per_page = 2,
nrow_per_page = 2,
width = 15,
height = 8,
testing = FALSE
)
Arguments
- ggplot_list
list of plots to be arranged into a grid for each pdf page. The list of plot should can be created via the function
add_ggplot_panel()
. The function will create a data frame or tibble and the column name "panel" should contain the list of plots.- filename
File name of the pdf document. Default: 'curve_plot.pdf'
- ncol_per_page
Number of columns of plots allowed in one page of the pdf document. Default: 2
- nrow_per_page
Number of rows of plots allowed in one page of the pdf document. Default: 2
- width
The width of one pdf page. Default: 15
- height
The height of one pdf page. Default: 8
- testing
To indicate if we are running a test, if so, no pdf report is given out. Default: FALSE
Examples
sample_name <- c(
"Sample_010a", "Sample_020a", "Sample_040a",
"Sample_060a", "Sample_080a", "Sample_100a",
"Sample_010b", "Sample_020b", "Sample_040b",
"Sample_060b", "Sample_080b", "Sample_100b"
)
curve_1_good_linearity <- c(
22561, 31178, 39981, 48390, 52171, 53410,
32561, 41178, 49981, 58390, 62171, 63410
)
curve_2_good_linearity <- c(
2299075, 4136350, 7020062, 8922063, 9288742, 11365710,
2300075, 4137350, 7021062, 8923063, 9289742, 11366710
)
curve_data <- tibble::tibble(
Sample_Name = sample_name,
`Curve_1` = curve_1_good_linearity,
`Curve_2` = curve_2_good_linearity
)
concentration <- c(
10, 20, 40, 60, 80, 100,
10, 20, 40, 60, 80, 100
)
curve_batch_name <- c(
"B1", "B1", "B1", "B1", "B1", "B1",
"B2", "B2", "B2", "B2", "B2", "B2"
)
curve_batch_annot <- tibble::tibble(
Sample_Name = sample_name,
Curve_Batch_Name = curve_batch_name,
Concentration = concentration
)
# Create curve table
curve_table <- create_curve_table(
curve_batch_annot = curve_batch_annot,
curve_data_wide = curve_data,
common_column = "Sample_Name",
signal_var = "Signal",
column_group = "Curve_Name"
)
# Create a ggplot table without curve summary
ggplot_table_auto <- add_ggplot_panel(curve_table)
# Get the list of ggplot list for each group
ggplot_list <- ggplot_table_auto$panel
# Create a pdf report, set testing = FALSE to output results
pdf_page_list <- view_ggplot_pdf(ggplot_list, testing = TRUE)