# no total rows
mtcars %>%
tableHTML(widths = c(140, rep(50, 11))) %>%
add_theme_colorize()
# one total row
x1 <- sample(1:100, 12)
x2 <- sample(1:100, 12)
x3 <- sample(1:100, 12)
df <- data.frame(Month = month.abb, x1, x2, x3,
stringsAsFactors = FALSE)
df[nrow(df) + 1, ] <- c('Total', sum(x1), sum(x2), sum(x3))
df %>%
tableHTML(widths = rep(50, 4), rownames = FALSE) %>%
add_theme_colorize(total_rows = nrow(df),
color = 'darkred')
# multiple subtotal rows
df_q <- rbind(
df[1:3, ],
c('Sum1', sum(x1[1:3]), sum(x2[1:3]), sum(x3[1:3])),
df[4:6, ],
c('Sum2', sum(x1[4:6]), sum(x2[4:6]), sum(x3[4:6])),
df[7:9, ],
c('Sum3', sum(x1[7:9]), sum(x2[7:9]), sum(x3[7:9])),
df[10:12, ],
c('Sum4', sum(x1[10:12]), sum(x2[10:12]), sum(x3[10:12])))
df_q %>%
tableHTML(widths = rep(50, 5),
rownames = FALSE,
row_groups = list(c(4, 4, 4, 4),
c('Q1', 'Q2', 'Q3', 'Q4'))) %>%
add_theme_colorize(color = '#009999',
total_rows = c(4, 8, 12, 16))
# Two colors and an id_column
df_q %>%
tableHTML(widths = rep(50, 5),
rownames = FALSE,
row_groups = list(c(4, 4, 4, 4),
c('Q1', 'Q2', 'Q3', 'Q4'))) %>%
add_theme_colorize(color = c('pink3', 'yellow2'),
total_rows = c(4, 8, 12, 16), id_column = TRUE)
Run the code above in your browser using DataLab