wb <- wb_workbook()
negStyle <- create_dxfs_style(font_color = wb_color(hex = "FF9C0006"), bgFill = wb_color(hex = "FFFFC7CE"))
posStyle <- create_dxfs_style(font_color = wb_color(hex = "FF006100"), bgFill = wb_color(hex = "FFC6EFCE"))
wb$styles_mgr$add(negStyle, "negStyle")
wb$styles_mgr$add(posStyle, "posStyle")
wb$add_worksheet("cellIs")
wb$add_data("cellIs", -5:5)
wb$add_data("cellIs", LETTERS[1:11], startCol = 2)
wb$add_conditional_formatting(
"cellIs",
cols = 1,
rows = 1:11,
rule = "!=0",
style = "negStyle"
)
wb$add_conditional_formatting(
"cellIs",
cols = 1,
rows = 1:11,
rule = "==0",
style = "posStyle"
)
wb$add_worksheet("Moving Row")
wb$add_data("Moving Row", -5:5)
wb$add_data("Moving Row", LETTERS[1:11], startCol = 2)
wb$add_conditional_formatting(
"Moving Row",
cols = 1:2,
rows = 1:11,
rule = "$A1<0",
style = "negStyle"
)
wb$add_conditional_formatting(
"Moving Row",
cols = 1:2,
rows = 1:11,
rule = "$A1>0",
style = "posStyle"
)
wb$add_worksheet("Moving Col")
wb$add_data("Moving Col", -5:5)
wb$add_data("Moving Col", LETTERS[1:11], startCol = 2)
wb$add_conditional_formatting(
"Moving Col",
cols = 1:2,
rows = 1:11,
rule = "A$1<0",
style = "negStyle"
)
wb$add_conditional_formatting(
"Moving Col",
cols = 1:2,
rows = 1:11,
rule = "A$1>0",
style = "posStyle"
)
wb$add_worksheet("Dependent on")
wb$add_data("Dependent on", -5:5)
wb$add_data("Dependent on", LETTERS[1:11], startCol = 2)
wb$add_conditional_formatting(
"Dependent on",
cols = 1:2,
rows = 1:11,
rule = "$A$1 < 0",
style = "negStyle"
)
wb$add_conditional_formatting(
"Dependent on",
cols = 1:2,
rows = 1:11,
rule = "$A$1>0",
style = "posStyle"
)
wb$add_data("Dependent on", data.frame(x = 1:10, y = runif(10)), startRow = 15)
wb$add_conditional_formatting(
"Dependent on",
cols = 1,
rows = 16:25,
rule = "B16<0.5",
style = "negStyle"
)
wb$add_conditional_formatting(
"Dependent on",
cols = 1,
rows = 16:25,
rule = "B16>=0.5",
style = "posStyle"
)
Yep, that is a color scale image.
df <- read_xlsx(system.file("extdata", "readTest.xlsx", package = "openxlsx2"), sheet = 5)
wb$add_worksheet("colorScale", zoom = 30)
wb$add_data("colorScale", df, colNames = FALSE) ## write data.frame
Rule is a vector or colors of length 2 or 3 (any hex color or any of
colors()
). If rule is NULL
, min and max of
cells is used. Rule must be the same length as style or L.
wb$add_conditional_formatting(
"colorScale",
cols = seq_along(df),
rows = seq_len(nrow(df)),
style = c("black", "white"),
rule = c(0, 255),
type = "colorScale"
)
wb$set_col_widths("colorScale", cols = seq_along(df), widths = 1.07)
wb$set_row_heights("colorScale", rows = seq_len(nrow(df)), heights = 7.5)
wb$add_worksheet("databar")
## Databars
wb$add_data("databar", -5:5, startCol = 1)
wb <- wb_add_conditional_formatting(
wb,
"databar",
cols = 1,
rows = 1:11,
type = "dataBar"
) ## Default colors
wb$add_data("databar", -5:5, startCol = 3)
wb <- wb_add_conditional_formatting(
wb,
"databar",
cols = 3,
rows = 1:11,
type = "dataBar",
params = list(
showValue = FALSE,
gradient = FALSE
)
) ## Default colors
wb$add_data("databar", -5:5, startCol = 5)
wb <- wb_add_conditional_formatting(
wb,
"databar",
cols = 5,
rows = 1:11,
type = "dataBar",
style = c("#a6a6a6"),
params = list(showValue = FALSE)
)
wb$add_data("databar", -5:5, startCol = 7)
wb <- wb_add_conditional_formatting(
wb,
"databar",
cols = 7,
rows = 1:11,
type = "dataBar",
style = c("red"),
params = list(
showValue = TRUE,
gradient = FALSE
)
)
# custom color
wb$add_data("databar", -5:5, startCol = 9)
wb <- wb_add_conditional_formatting(
wb,
"databar",
cols = 9,
rows = 1:11,
type = "dataBar",
style = c("#a6a6a6", "#a6a6a6"),
params = list(showValue = TRUE, gradient = FALSE)
)
# with rule
wb$add_data(x = -5:5, startCol = 11)
wb <- wb_add_conditional_formatting(
wb,
"databar",
cols = 11,
rows = 1:11,
type = "dataBar",
rule = c(0, 5),
style = c("#a6a6a6", "#a6a6a6"),
params = list(showValue = TRUE, gradient = FALSE)
)
Highlight cells in interval [-2, 2]
Highlight top 5 values in column x
wb$add_conditional_formatting(
"topN",
cols = 1,
rows = 2:11,
style = "posStyle",
type = "topN",
params = list(rank = 5)
)
Highlight top 20 percentage in column y