ms_barchart: Barchart object

In mschart: Chart Generation for 'Microsoft Word', 'Microsoft Excel' and 'Microsoft PowerPoint' Documents

Barchart object

Description

Creation of a barchart object that can be inserted in a 'Microsoft' document.

Bar charts illustrate comparisons among individual items. In a bar chart, the categories are typically organized along the vertical axis, and the values along the horizontal axis.

Consider using a bar chart when:

• The axis labels are long.

• The values that are shown are durations.

Usage

ms_barchart(data, x, y, group = NULL, labels = NULL, asis = FALSE)

Arguments

data	a data.frame
x	column name for x values.
y	column name for y values.
group	grouping column name used to split data into series. Optional.
labels	column names of columns to be used as custom data labels displayed next to data points (not axis labels). Optional. If more than one name is provided, only the first one will be used as a label, but all labels (transposed if a group is used) will be available in the Excel file associated with the chart.
asis	logical parameter defaulting to FALSE. When FALSE, the data is reshaped internally so that each series becomes a separate column. When TRUE, the data is used as-is and must already have one column for categories and one column per series, and y accepts a vector of series column names. asis describes the input shape read by the constructor. Not to be confused with the write_data argument of sheet_add_drawing.ms_chart(), which controls whether mschart writes the chart's data into an Excel sheet at embed time. The two are independent.

Value

An ms_chart object.

Illustrations

See Also

chart_settings(), chart_ax_x(), chart_ax_y(), chart_data_labels(), chart_theme(), chart_labels()

Other 'Office' chart objects: ms_areachart(), ms_boxplotchart(), ms_bubblechart(), ms_chart_combine(), ms_funnelchart(), ms_histogramchart(), ms_linechart(), ms_paretochart(), ms_piechart(), ms_radarchart(), ms_scatterchart(), ms_stockchart(), ms_sunburstchart(), ms_treemapchart(), ms_waterfallchart()

Examples

library(officer)
library(mschart)
library(officer)


# example chart 01 -------

chart_01 <- ms_barchart(
  data = browser_data, x = "browser",
  y = "value", group = "serie"
)
chart_01 <- chart_settings(
  x = chart_01, dir = "vertical",
  grouping = "clustered", gap_width = 50
)
chart_01 <- chart_ax_x(
  x = chart_01, cross_between = "between",
  major_tick_mark = "out"
)
chart_01 <- chart_ax_y(
  x = chart_01, cross_between = "midCat",
  major_tick_mark = "in"
)
# print(chart_01, preview = TRUE)


# example chart 02 -------
dat <- data.frame(
  Species = factor(c("setosa", "versicolor", "virginica"),
    levels = c("setosa", "versicolor", "virginica")
  ),
  mean = c(5.006, 5.936, 6.588)
)
chart_02 <- ms_barchart(data = dat, x = "Species", y = "mean")
chart_02 <- chart_settings(x = chart_02, dir = "horizontal")
chart_02 <- chart_theme(x = chart_02, title_x_rot = 270, title_y_rot = 0)
# print(chart_02, preview = TRUE)



# example chart 03 -------

mytheme <- mschart_theme(
  axis_title_x = fp_text(color = "gray", font.size = 20, bold = TRUE),
  axis_title_y = fp_text(color = "gray", font.size = 20, italic = TRUE),
  grid_major_line_y = fp_border(width = 1, color = "wheat"),
  axis_ticks_y = fp_border(width = 1, color = "gray")
)

chart_03 <- ms_barchart(
  data = browser_data, x = "browser",
  y = "value", group = "serie"
)
chart_03 <- chart_settings(chart_03,
  grouping = "stacked",
  gap_width = 150, overlap = 100
)
chart_03 <- chart_ax_x(chart_03,
  cross_between = "between",
  major_tick_mark = "out", minor_tick_mark = "none"
)
chart_03 <- chart_ax_y(chart_03,
  num_fmt = "0.00",
  minor_tick_mark = "none"
)
chart_03 <- set_theme(chart_03, mytheme)
chart_03 <- chart_labels(x = chart_03, title = "Things in percent")
chart_03 <- chart_data_labels(chart_03,
  position = "ctr",
  show_val = TRUE
)
chart_03 <- chart_labels_text(chart_03,
  fp_text(color = "white", bold = TRUE, font.size = 9)
)
chart_03 <- chart_data_fill(chart_03,
  values = c(
    serie1 = "#4477AA",
    serie2 = "#CC6677",
    serie3 = "#DDCC77"
  )
)
chart_03 <- chart_data_stroke(chart_03,
  values = c(
    serie1 = "#223B55",
    serie2 = "#66333C",
    serie3 = "#6F663C"
  )
)
chart_03 <- chart_data_line_width(chart_03,
  values = c(serie1 = 2, serie2 = 2, serie3 = 2)
)
# print(chart_03, preview = TRUE)

# example chart 04 -------

dat_groups <-
  data.frame(
    cut = c(
      "Fair", "Fair", "Fair", "Fair", "Fair",
      "Fair", "Fair", "Fair", "Good", "Good", "Good", "Good", "Good",
      "Good", "Good", "Good", "Very Good", "Very Good", "Very Good",
      "Very Good", "Very Good", "Very Good", "Very Good", "Very Good",
      "Premium", "Premium", "Premium", "Premium", "Premium",
      "Premium", "Premium", "Premium", "Ideal", "Ideal", "Ideal", "Ideal",
      "Ideal", "Ideal", "Ideal", "Ideal"
    ),
    clarity = c(
      "I1", "SI2", "SI1", "VS2", "VS1", "VVS2",
      "VVS1", "IF", "I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1",
      "IF", "I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF",
      "I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF", "I1",
      "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF"
    ),
    carat = c(
      1.065, 1.01, 0.98, 0.9, 0.77, 0.7, 0.7,
      0.47, 1.07, 1, 0.79, 0.82, 0.7, 0.505, 0.4, 0.46, 1.145, 1.01,
      0.77, 0.71, 0.7, 0.4, 0.36, 0.495, 1.11, 1.04, 0.9, 0.72, 0.7,
      0.455, 0.4, 0.36, 1.13, 1, 0.71, 0.53, 0.53, 0.44, 0.4, 0.34
    ),
    n = c(
      210L, 466L, 408L, 261L, 170L, 69L, 17L, 9L,
      96L, 1081L, 1560L, 978L, 648L, 286L, 186L, 71L, 84L, 2100L,
      3240L, 2591L, 1775L, 1235L, 789L, 268L, 205L, 2949L, 3575L, 3357L,
      1989L, 870L, 616L, 230L, 146L, 2598L, 4282L, 5071L, 3589L,
      2606L, 2047L, 1212L
    )
  )

dat_groups$label <- sprintf(
  "carat median is %.01f",
  dat_groups$carat
)
dat_groups

text_prop <- fp_text(font.size = 11, color = "gray")

chart_04 <- ms_barchart(
  data = dat_groups, x = "cut",
  labels = "label", y = "n", group = "clarity"
)
chart_04 <- chart_settings(chart_04,
  grouping = "clustered", dir = "horizontal",
  gap_width = 0
)
chart_04 <- chart_data_labels(chart_04, position = "outEnd")
chart_04 <- chart_labels_text(chart_04, text_prop)
chart_04 <- chart_theme(chart_04, title_x_rot = 270, title_y_rot = 0)
# print(chart_04, preview = TRUE)

# example chart 05 -------

dat_no_group <- data.frame(
  stringsAsFactors = FALSE,
  cut = c("Fair", "Good", "Very Good", "Premium", "Ideal"),
  carat = c(1, 0.82, 0.71, 0.86, 0.54),
  n = c(1610L, 4906L, 12082L, 13791L, 21551L),
  label = c(
    "carat median is 1.0",
    "carat median is 0.8", "carat median is 0.7",
    "carat median is 0.9", "carat median is 0.5"
  )
)
chart_05 <- ms_barchart(
  data = dat_no_group,
  x = "cut", labels = "label", y = "n"
)
chart_05 <- chart_settings(chart_05,
  grouping = "clustered"
)
chart_05 <- chart_data_labels(chart_05, position = "outEnd")
chart_05 <- chart_labels_text(chart_05, text_prop)
# print(chart_05, preview = TRUE)

# example chart 06 -------
chart_06 <- ms_barchart(
  data = dat_no_group,
  x = "cut", labels = "label", y = "n"
)
chart_06 <- chart_settings(chart_06,
  grouping = "clustered", table = TRUE
)
chart_06 <- chart_data_labels(chart_06, position = "outEnd")
chart_06 <- chart_labels_text(chart_06, text_prop)
# print(chart_06, preview = TRUE)


# example chart 07 -------
# Series order (and therefore legend order) follows the levels of
# the `group` factor. Convert the column to a factor with the desired
# level order before passing it to ms_barchart().
ordered_data <- browser_data
ordered_data$serie <- factor(ordered_data$serie,
  levels = c("serie3", "serie1", "serie2")
)
chart_07 <- ms_barchart(
  data = ordered_data, x = "browser",
  y = "value", group = "serie"
)
chart_07 <- chart_labels(chart_07,
  title = "Series and legend ordered via factor levels"
)
# print(chart_07, preview = TRUE)

# example chart 08 -------
# Wide-format input: each series is its own column. Pass the series
# column names as a vector in `y` and set `asis = TRUE`.
browser_wide <- data.frame(
  browser = unique(browser_data$browser),
  serie1  = browser_data$value[browser_data$serie == "serie1"],
  serie2  = browser_data$value[browser_data$serie == "serie2"],
  serie3  = browser_data$value[browser_data$serie == "serie3"]
)
chart_08 <- ms_barchart(
  data = browser_wide,
  x = "browser",
  y = c("serie1", "serie2", "serie3"),
  asis = TRUE
)
# print(chart_08, preview = TRUE)

mschart documentation built on May 17, 2026, 1:09 a.m.