QQplotgg | R Documentation |
QQplotgg is a generic function that produces QQ plot of two datasets, distribution and dataset or two distributions.
QQplotgg( d1, d2, line = TRUE, col = "#F9D607", line_col = "#f28df9", xlab = deparse(substitute(d1)), ylab, main = "Q-Q plot", alpha, lwd = 1, ... ) ## Default S3 method: QQplotgg( d1, d2, line = TRUE, col = "#F9D607", line_col = "#f28df9", xlab = deparse(substitute(d1)), ylab = deparse(substitute(d2)), main = "Q-Q plot", alpha = 0.5, lwd = 1, ... ) ## S3 method for class 'dist' QQplotgg( d1, d2, line = TRUE, col = "#F9D607", line_col = "#f28df9", xlab = deparse(substitute(d1)), ylab = ylabe, main = "Q-Q plot", alpha = 0.7, lwd = 1, CI = re, CI_alpha = 0.4, CI_col = line_col, conf = 0.95, n = 100, ... ) QQnormgg(d2, xlab = "Standard Normal", ylab = deparse(substitute(d2)), ...)
d1 |
distribution object or dataset. |
d2 |
distribution object or dataset. |
line |
if qqline should be included, default: TRUE. |
col |
color of points, default: '#F9D607'. |
line_col |
color of qqline, default: '#f28df9'. |
xlab |
xlab, default: deparse(substitute(d1)). |
ylab |
ylab. default: deparse(substitute(d2)). |
main |
title, default: 'Q-Q plot'. |
alpha |
alpha of points, default: 0.7. |
lwd |
lwd of qqline, default: 1. |
... |
further arguments to be passed. |
CI |
if confidence bound should be included. |
CI_alpha |
alpha of confidence bound, default: 0.4. |
CI_col |
color of confidence bound , default: line_col. |
conf |
confidence level for confidence bound, default: 0.95. |
n |
number of points at which quantile functions are evaluated if two distributions are compared, default: 100. |
QQplotgg
is able to compare any combination of dataset and distributions.
QQnormgg
is a wrapper around QQplotgg
, where d1 is set to normdist()
.
If quantiles of a continuous distribution are compared with a sample, a confidence bound for data is offered. This confidence "envelope" is based on the asymptotic results of the order statistics. For more details see https://en.wikipedia.org/wiki/Order_statistic.
ggplot object.
# sample vs sample QQplotgg(r(normdist(), 10000), r(tdist(df = 4), 10000)) # distribution vs sample QQplotgg(normdist(), r(tdist(df = 4), 10000)) # distribution vs distribution QQplotgg(normdist(), tdist(df = 4))
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