formatCI | R Documentation |
This formats a confidence interval in either the +/- notation or
the parenthetic notation. For example, if a quantity has mean 1
with uncertainty 0.05, which means a CI of 0.95 to 1.05,
the "+-"
style yields "1+/-0.05"
, and the "parentheses"
style yields ‘""’.
formatCI(
ci,
style = c("+/-", "parentheses"),
model,
digits = 2,
debug = getOption("oceDebug", 0)
)
ci |
optional vector of length 2 or 3. |
style |
string indicating notation to be used. |
model |
optional regression model, e.g. returned by |
digits |
optional number of digits to use. This is ignored
if |
debug |
integer value indicating debugging level. If 0, then
|
If a model
is given, then ci
is ignored, and a confidence
interval is calculated using confint()
with level
set to
0.6914619. This level
corresponds to a range of plus or minus one
standard deviation, for the t distribution and a large number of degrees of
freedom (since qt(0.6914619, 100000)
is 0.5).
If model
is missing, ci
must be provided. If it contains 3
elements, then first and third elements are taken as the range of the
confidence interval (which by convention should use the level
stated
in the previous paragraph), and the second element is taken as the central
value. Alternatively, if ci
has 2 elements, they are taken to be
bounds of the confidence interval and their mean is taken to be the central
value.
In the +/-
notation, e.g. a \pm b
indicates that the true
value lies between a-b
and a+b
with a high degree of
certainty. Mills et al. (1993, section 4.1 on page 83) suggest that
b
should be set equal to 2 times the standard uncertainty or
standard deviation. JCGM (2008, section 7.2.2 on pages 25 and 26), however,
suggest that b
should be set to the standard uncertainty, while
also recommending that the \pm
notation (and presumably
the parentheses notation also) be avoided altogether, in favour of
writing sentences that explains uncertainties in clear terms.
The parentheses
notation is often called the compact notation. In
it, the digits in parentheses indicate the uncertainty in the corresponding
digits to their left, e.g. 12.34(3) means that the last digit (4) has an
uncertainty of 3. However, as with the \pm
notation, different
authorities offer different advice on defining this uncertainty; Mills et
al. (1993) provide an example in which the
parenthetic value is half the \pm
value, whereas
JCM (2008) suggest using the same values.
The JCM(2008) convention is used by formatCI()
for the parentheses
notation, as illustrated in Examples 1 and 2. Note, however, that
if the confidence range exceeds the value, then
a request for parentheses
format reverts to +/-
format.
If ci
is given, the result is a character string with the
estimate and its uncertainty, in plus/minus or parenthetic notation. If
model
is given, the result is a 1-column matrix holding character
strings, with row names corresponding to the parameters of the model.
Dan Kelley
JCGM, 2008. Evaluation of measurement data - Guide to the
expression of uncertainty in measurement (JCGM 100:2008), published by the
Joint Committee for Guides in Metrology, available (as of November 2023)
at https://www.bipm.org/documents/20126/2071204/JCGM_100_2008_E.pdf.
See section 7.2.2 on Page 25, for a summary of notation, including
an illustration of the use of equal values for both the +-
and the
parentheses notations.
Mills, I., T. Cvitas, K. Homann, N. Kallay, and K. Kuchitsu, 1993.
Quantities, Units and Symbols in Physical Chemistry, published
Blackwell Science for the International Union of Pure and Applied Chemistry.
(See section 4.1, page 83, for a summary of notation, which shows that a
value to the right of a +-
sign is to be halved if put in
in parentheses, which is not done in the present function, because
of a choice to follow the recommendation of reference 1.
library(oce)
# Example 1: mean=1, uncertainty=0.05, in +/- notation.
formatCI(c(0.95, 1.05)) # "1+/-0.05"
# Example 2: save mean and uncertainty, but in parentheses notation.
formatCI(c(0.95, 1.05), style = "parentheses") # "1.00(5)"
# example 3: using t.test to find a CI.
a <- rnorm(100, mean = 10, sd = 1)
CI <- t.test(a)$conf.int
formatCI(CI)
formatCI(CI, style = "parentheses")
# example 4: specifying a model
x <- seq(0, 10, 0.1)
y <- 2 + 3 * x + rnorm(x, sd = 0.1)
m <- lm(y ~ x)
formatCI(model = m)
formatCI(model = m, style = "parentheses")
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