From 91883de8594d1ffe382f373424be5fdf3275a650 Mon Sep 17 00:00:00 2001 From: anhoej Date: Thu, 8 Jul 2021 08:49:25 +0200 Subject: [PATCH] Fix DOI URLs. --- man/nhs_accidents.Rd | 2 +- man/qic.Rd | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/man/nhs_accidents.Rd b/man/nhs_accidents.Rd index 1651c2c..929b3ae 100644 --- a/man/nhs_accidents.Rd +++ b/man/nhs_accidents.Rd @@ -11,7 +11,7 @@ A data frame with 20 rows and 3 variables: \itemize{ \item i Week } \source{ Mohammed MA, et al. Quality and Safety in Health Care - 2013;22:362–368. \url{https://doi.org/10.1136/bmjqs-2012-001373}. + 2013;22:362–368. \doi{10.1136/bmjqs-2012-001373}. } \usage{ nhs_accidents diff --git a/man/qic.Rd b/man/qic.Rd index 8435a40..9c18f2a 100644 --- a/man/qic.Rd +++ b/man/qic.Rd @@ -164,11 +164,11 @@ Non-random variation in the form of minor to moderate persistent shifts in data over time is (by default) identified by the Anhoej rules for unusually long runs and unusually few crossing. Use the EXPERIMENTAL method argument to apply the bestbox or cutbox methods as described in Anhøj & Wentzel-Larsen -(2020) \url{https://doi.org/10.1371/journal.pone.0233920}. +(2020) \doi{10.1371/journal.pone.0233920}. Special cause variation in the form of larger, possibly transient, shifts in data is identified by Shewhart's 3-sigma rule (Mohammed, Worthington, -Woodall (2008) \url{https://doi.org/10.1136/qshc.2004.012047}). +Woodall (2008) \doi{10.1136/qshc.2004.012047}). } \examples{ # Lock random number generator to make reproducible results.