# Example 2: Table

### Create a Summary Table

Here is an example of a regulatory-style table of summary statistics. This example also introduces the define() function on create_table(). The define() function allows you to control many aspects of a column, including the label, format, width, alignment, and much more:

library(reporter)

# Create temporary path
tmp <- file.path(tempdir(), "example2.rtf")

var     label        A             B
"ampg"   "N"          "19"          "13"
"ampg"   "Mean"       "18.8 (6.5)"  "22.0 (4.9)"
"ampg"   "Median"     "16.4"        "21.4"
"ampg"   "Q1 - Q3"    "15.1 - 21.2" "19.2 - 22.8"
"ampg"   "Range"      "10.4 - 33.9" "14.7 - 32.4"
"cyl"    "8 Cylinder" "10 ( 52.6%)" "4 ( 30.8%)"
"cyl"    "6 Cylinder" "4 ( 21.1%)"  "3 ( 23.1%)"
"cyl"    "4 Cylinder" "5 ( 26.3%)"  "6 ( 46.2%)"')

# Create table
tbl <- create_table(df, first_row_blank = TRUE) %>%
define(var, label = "Variable", blank_after = TRUE, dedupe = TRUE,
format = c(ampg = "Miles Per Gallon", cyl = "Cylinders")) %>%
define(label, label = "") %>%
define(A, label = "Group A", align = "center", n = 19) %>%
define(B, label = "Group B", align = "center", n = 13)

# Create report and add content
rpt <- create_report(tmp, output_type = "RTF",
font = "Times", font_size = 12) %>%
page_header(left = "Client: Motor Trend", right = "Study: Cars") %>%
titles("Table 1.0", "MTCARS Summary Table") %>%
# file.show(tmp)