fmt_scientific | R Documentation |
With numeric values in a gt table, we can perform formatting so that the
targeted values are rendered in scientific notation, where extremely large or
very small numbers can be expressed in a more practical fashion. Here,
numbers are written in the form of a mantissa (m
) and an exponent (n
)
with the construction m x 10^n or mEn. The mantissa component is a
number between 1
and 10
. For instance, 2.5 x 10^9
can be used to
represent the value 2,500,000,000 in scientific notation. In a similar way,
0.00000012 can be expressed as 1.2 x 10^-7
. Due to its ability to describe
numbers more succinctly and its ease of calculation, scientific notation is
widely employed in scientific and technical domains.
We have fine control over the formatting task, with the following options:
decimals: choice of the number of decimal places, option to drop trailing zeros, and a choice of the decimal symbol
scaling: we can choose to scale targeted values by a multiplier value
pattern: option to use a text pattern for decoration of the formatted values
locale-based formatting: providing a locale ID will result in formatting specific to the chosen locale
fmt_scientific(
data,
columns = everything(),
rows = everything(),
decimals = 2,
n_sigfig = NULL,
drop_trailing_zeros = FALSE,
drop_trailing_dec_mark = TRUE,
scale_by = 1,
exp_style = "x10n",
pattern = "{x}",
sep_mark = ",",
dec_mark = ".",
force_sign_m = FALSE,
force_sign_n = FALSE,
locale = NULL
)
data |
The gt table data object
This is the gt table object that is commonly created through use of the
|
columns |
Columns to target
Can either be a series of column names provided in |
rows |
Rows to target
In conjunction with |
decimals |
Number of decimal places
This corresponds to the exact number of decimal places to use. A value
such as |
n_sigfig |
Number of significant figures
A option to format numbers to n significant figures. By default, this is
|
drop_trailing_zeros |
Drop any trailing zeros
A logical value that allows for removal of trailing zeros (those redundant zeros after the decimal mark). |
drop_trailing_dec_mark |
Drop the trailing decimal mark
A logical value that determines whether decimal marks should always appear
even if there are no decimal digits to display after formatting (e.g., |
scale_by |
Scale values by a fixed multiplier
All numeric values will be multiplied by the |
exp_style |
Style declaration for exponent formatting
Style of formatting to use for the scientific notation formatting. By
default this is |
pattern |
Specification of the formatting pattern
A formatting pattern that allows for decoration of the formatted value. The
formatted value is represented by the |
sep_mark |
Separator mark for digit grouping
The string to use as a separator between groups of digits. For example,
using |
dec_mark |
Decimal mark
The string to be used as the decimal mark. For example, using
|
force_sign_m , force_sign_n |
Forcing the display of a positive sign
Should the plus sign be shown for positive values of the mantissa (first
component, |
locale |
Locale identifier
An optional locale identifier that can be used for formatting values
according to the locale's rules. Examples include |
An object of class gt_tbl
.
fmt_scientific()
is compatible with body cells that are of the "numeric"
or "integer"
types. Any other types of body cells are ignored during
formatting. This is to say that cells of incompatible data types may be
targeted, but there will be no attempt to format them.
from_column()
helper functionfrom_column()
can be used with certain arguments of fmt_scientific()
to
obtain varying parameter values from a specified column within the table.
This means that each row could be formatted a little bit differently. These
arguments provide support for from_column()
:
decimals
drop_trailing_zeros
drop_trailing_dec_mark
scale_by
exp_style
pattern
sep_mark
dec_mark
force_sign_m
force_sign_n
locale
Please note that for all of the aforementioned arguments, a from_column()
call needs to reference a column that has data of the correct type (this is
different for each argument). Additional columns for parameter values can be
generated with cols_add()
(if not already present). Columns that contain
parameter data can also be hidden from final display with cols_hide()
.
Finally, there is no limitation to how many arguments the from_column()
helper is applied so long as the arguments belong to this closed set.
locale
This formatting function can adapt outputs according to a provided locale
value. Examples include "en"
for English (United States) and "fr"
for
French (France). The use of a valid locale ID here means separator and
decimal marks will be correct for the given locale. Should any values be
provided in sep_mark
or dec_mark
, they will be overridden by the locale's
preferred values.
Note that a locale
value provided here will override any global locale
setting performed in gt()
's own locale
argument (it is settable there as
a value received by all other functions that have a locale
argument). As a
useful reference on which locales are supported, we can call info_locales()
to view an info table.
Let's define a data frame that contains two columns of values (one small
and one large
). After creating a simple gt table from small_large_tbl
we'll call fmt_scientific()
on both columns.
small_large_tbl <- dplyr::tibble( small = 10^(-12:-1), large = 10^(1:12) ) small_large_tbl |> gt() |> fmt_scientific()
The default method of styling the notation uses the 'm x 10^n'
construction but this can be changed to a 'mEn' style via the exp_style
argument. We can supply any single letter here and optionally affix a "1"
to indicate there should not be any zero-padding of the n value. Two calls
of fmt_scientific()
are used here to show different options for styling
in scientific notation.
small_large_tbl |> gt() |> fmt_scientific( columns = small, exp_style = "E" ) |> fmt_scientific( columns = large, exp_style = "e1", force_sign_n = TRUE )
Taking a portion of the reactions
dataset, we can create a gt table
that contains reaction rate constants that should be expressed in scientific
notation. All of the numeric values in the filtered table require that
type of formatting so fmt_scientific()
can be called without requiring any
specification of column names in the columns
argument. By default, the
number of decimal places is fixed to 2
, which is fine for this table.
reactions |> dplyr::filter(cmpd_type == "mercaptan") |> dplyr::select(cmpd_name, cmpd_formula, OH_k298, Cl_k298, NO3_k298) |> gt(rowname_col = "cmpd_name") |> tab_header(title = "Gas-phase reactions of selected mercaptan compounds") |> tab_spanner( label = md("Reaction Rate Constant (298 K),<br>{{cm^3 molecules^-1 s^-1}}"), columns = ends_with("k298") ) |> fmt_chem(columns = cmpd_formula) |> fmt_scientific() |> sub_missing() |> cols_label( cmpd_formula = "", OH_k298 = "OH", NO3_k298 = "{{%NO3%}}", Cl_k298 = "Cl" ) |> opt_stylize() |> opt_horizontal_padding(scale = 3) |> opt_table_font(font = google_font("IBM Plex Sans")) |> tab_options(stub.font.weight = "500")
The constants
table contains a plethora of data on the fundamental
physical constants and values range from very small to very large, warranting
the use of figures in scientific notation. Because the values differ in the
degree of measurement precision, the dataset has columns (sf_value
and
sf_uncert
) that include the number of significant figures for each
measurement value and for the associated uncertainty. We can use the
n_sigfig
argument of fmt_scientific()
in conjunction with the
from_column()
helper to format each value and its uncertainty to the proper
number of significant digits.
constants |> dplyr::filter(grepl("Planck", name)) |> gt() |> fmt_scientific( columns = value, n_sigfig = from_column(column = "sf_value") ) |> fmt_scientific( columns = uncert, n_sigfig = from_column(column = "sf_uncert") ) |> cols_hide(columns = starts_with("sf")) |> fmt_units(columns = units) |> sub_missing(missing_text = "")
3-3
v0.2.0.5
(March 31, 2020)
The vector-formatting version of this function:
vec_fmt_scientific()
.
Other data formatting functions:
data_color()
,
fmt()
,
fmt_auto()
,
fmt_bins()
,
fmt_bytes()
,
fmt_chem()
,
fmt_country()
,
fmt_currency()
,
fmt_date()
,
fmt_datetime()
,
fmt_duration()
,
fmt_email()
,
fmt_engineering()
,
fmt_flag()
,
fmt_fraction()
,
fmt_icon()
,
fmt_image()
,
fmt_index()
,
fmt_integer()
,
fmt_markdown()
,
fmt_number()
,
fmt_partsper()
,
fmt_passthrough()
,
fmt_percent()
,
fmt_roman()
,
fmt_spelled_num()
,
fmt_tf()
,
fmt_time()
,
fmt_units()
,
fmt_url()
,
sub_large_vals()
,
sub_missing()
,
sub_small_vals()
,
sub_values()
,
sub_zero()
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