Perform cell conditional formatting of two colours
based on if a given word on a given numeric column from curve_summary
.
Usage
format_num_cell_colour(
workbook,
sheet,
curve_summary,
dilution_summary = lifecycle::deprecated(),
conditional_column,
threshold_value,
pass_criteria = c("above", "below"),
pass_equality = TRUE
)
Arguments
- workbook
A workbook object from
openxlsx
.- sheet
The name of the sheet to apply the numeric style on
workbook
.- curve_summary
The summary table generated by function
summarise_curve_table()
and/orevaluate_linearity()
.- dilution_summary
- conditional_column
A character vector to indicate which column in
curve_summary
to use.- threshold_value
The threshold value to indicate a pass or fail.
- pass_criteria
To indicate pass if the value is above or below threshold value. Default: c("above", "below")
- pass_equality
To indicate if equality to the threshold value is considered a pass or fail. Default: TRUE
Examples
r_corr <- c(
0.951956, 0.948683, 0.978057, 0.976462,
0.970618, 0.969348, 0.343838, 0.383552
)
pra_linear <- c(
65.78711, 64.58687, 90.21257, 89.95473,
72.91220, 72.36528, -233.05949, -172.13659
)
mandel_p_val <- c(
2.899006e-07, 7.922290e-07, 2.903365e-01, 3.082930e-01,
3.195779e-08, 6.366588e-08, 3.634004e-02, 1.864090e-02
)
concavity <- c(
-4133.501328, -4146.745747, -3.350942, -3.393617,
0.3942824, 0.4012963, -19.9469621, -22.6144875
)
curve_summary <- data.frame(
r_corr = r_corr, pra_linear = pra_linear,
mandel_p_val = mandel_p_val,
concavity = concavity
)
curve_summary <- mark_near_zero_columns(curve_summary)
# Create a new workbook
my_workbook <- openxlsx::createWorkbook()
# Create a new worksheet
openxlsx::addWorksheet(wb = my_workbook, sheetName = "Curve Summary")
# Write to worksheet as an Excel Table
openxlsx::writeDataTable(
wb = my_workbook, sheet = "Curve Summary",
x = curve_summary,
withFilter = TRUE,
bandedRows = FALSE
)
# Conditional formatting can only be done
# after data is written to excel sheet
format_num_cell_colour(
workbook = my_workbook, sheet = "Curve Summary",
curve_summary = curve_summary,
conditional_column = "r_corr",
threshold_value = "0.8",
pass_criteria = "above"
)