Migrate documentation to roxygen2md

Change-Id: If5370cd207770f3e05c6f5cd063bd2a414b92bcb
diff --git a/man/KorAPConnection-class.Rd b/man/KorAPConnection-class.Rd
index 73e0a6e..33fdb2b 100644
--- a/man/KorAPConnection-class.Rd
+++ b/man/KorAPConnection-class.Rd
@@ -54,15 +54,14 @@
 token persistent for the currently used \code{KorAPUrl} (you can have one
 token per KorAPUrl / KorAP server instance), use
 \code{persistAccessToken(kco)}. This will store it in your keyring using the
-\code{\link{keyring}} package. Subsequent new("KorAPConnection") calls will
+\code{\link[=keyring]{keyring()}} package. Subsequent new("KorAPConnection") calls will
 then automatically retrieve the token from your keying. To stop using a
 persisted token, call \code{clearAccessToken(kco)}. Please note that for
 DeReKo, authorized queries will behave differently inside and outside the
 IDS, because of the special license situation. This concerns also cached
 results which do not take into account from where a request was issued. If
-you experience problems or unexpected results, please try \code{kco <-
-new("KorAPConnection", cache=FALSE)} or use
-\code{\link{clearCache}} to clear the cache completely.}
+you experience problems or unexpected results, please try \code{kco <- new("KorAPConnection", cache=FALSE)} or use
+\code{\link[=clearCache]{clearCache()}} to clear the cache completely.}
 
 \item{userAgent}{user agent string.}
 
@@ -72,7 +71,7 @@
 be verbose.}
 
 \item{cache}{logical. Decides if API calls are cached locally. You can clear
-the cache with \code{\link{clearCache}()}.}
+the cache with \code{\link[=clearCache]{clearCache()}}.}
 
 \item{kco}{KorAPConnection object}
 
@@ -85,8 +84,8 @@
 \item{object}{KorAPConnection object}
 }
 \value{
-\code{\link{KorAPConnection}} object that can be used e.g. with
-  \code{\link{corpusQuery}}
+\code{\link[=KorAPConnection]{KorAPConnection()}} object that can be used e.g. with
+\code{\link[=corpusQuery]{corpusQuery()}}
 }
 \description{
 \code{KorAPConnection} objects represent the connection to a KorAP server.
diff --git a/man/KorAPCorpusStats-class.Rd b/man/KorAPCorpusStats-class.Rd
index 0d2e46c..243f769 100644
--- a/man/KorAPCorpusStats-class.Rd
+++ b/man/KorAPCorpusStats-class.Rd
@@ -13,7 +13,7 @@
 }
 \description{
 \code{KorAPCorpusStats} objects can hold information about a corpus or virtual corpus.
-\code{KorAPCorpusStats} objects can be obtained by the \code{\link{corpusStats}()} method.
+\code{KorAPCorpusStats} objects can be obtained by the \code{\link[=corpusStats]{corpusStats()}} method.
 }
 \section{Slots}{
 
diff --git a/man/KorAPQuery-class.Rd b/man/KorAPQuery-class.Rd
index e5cf68a..13f0337 100644
--- a/man/KorAPQuery-class.Rd
+++ b/man/KorAPQuery-class.Rd
@@ -117,7 +117,7 @@
 
 \item{collectedMatches}{matches already fetched from the KorAP-API-server}
 
-\item{kco}{\code{\link{KorAPConnection}} object (obtained e.g. from \code{new("KorAPConnection")}}
+\item{kco}{\code{\link[=KorAPConnection]{KorAPConnection()}} object (obtained e.g. from \code{new("KorAPConnection")}}
 
 \item{query}{string that contains the corpus query. The query language depends on the \code{ql} parameter. Either \code{query} must be provided or \code{KorAPUrl}.}
 
@@ -135,17 +135,17 @@
 
 \item{as.df}{return result as data frame instead of as S4 object?}
 
-\item{kqo}{object obtained from \code{\link{corpusQuery}}}
+\item{kqo}{object obtained from \code{\link[=corpusQuery]{corpusQuery()}}}
 
 \item{offset}{start offset for query results to fetch}
 
 \item{maxFetch}{maximum number of query results to fetch}
 
-\item{randomizePageOrder}{fetch result pages in pseudo random order if true. Use \code{\link{set.seed}} to set seed for reproducible results.}
+\item{randomizePageOrder}{fetch result pages in pseudo random order if true. Use \code{\link[=set.seed]{set.seed()}} to set seed for reproducible results.}
 
 \item{...}{further arguments passed to or from other methods}
 
-\item{conf.level}{confidence level of the returned confidence interval (passed through \code{\link{ci}}  to \code{\link{prop.test}}).}
+\item{conf.level}{confidence level of the returned confidence interval (passed through \code{\link[=ci]{ci()}}  to \code{\link[=prop.test]{prop.test()}}).}
 
 \item{as.alternatives}{LOGICAL that specifies if the query terms should be treated as alternatives. If \code{as.alternatives} is TRUE, the sum over all query hits, instead of the respective vc token sizes is used as total for the calculation of relative frequencies.}
 
@@ -154,25 +154,25 @@
 \item{object}{KorAPQuery object}
 }
 \value{
-Depending on the \code{as.df} parameter, a table or a \code{\link{KorAPQuery}} object that, among other information, contains the total number of results in \code{@totalResults}. The resulting object can be used to fetch all query results (with \code{\link{fetchAll}}) or the next page of results (with \code{\link{fetchNext}}).
-A corresponding URL to be used within a web browser is contained in \code{@webUIRequestUrl}
-Please make sure to check \code{$collection$rewrites} to see if any unforeseen access rewrites of the query's virtual corpus had to be performed.
+Depending on the \code{as.df} parameter, a table or a \code{\link[=KorAPQuery]{KorAPQuery()}} object that, among other information, contains the total number of results in \verb{@totalResults}. The resulting object can be used to fetch all query results (with \code{\link[=fetchAll]{fetchAll()}}) or the next page of results (with \code{\link[=fetchNext]{fetchNext()}}).
+A corresponding URL to be used within a web browser is contained in \verb{@webUIRequestUrl}
+Please make sure to check \verb{$collection$rewrites} to see if any unforeseen access rewrites of the query's virtual corpus had to be performed.
 
 The \code{kqo} input object with updated slots \code{collectedMatches}, \code{apiResponse}, \code{nextStartIndex}, \code{hasMoreMatches}
 }
 \description{
 This class provides methods to perform different kinds of queries on the KorAP API server.
-\code{KorAPQuery} objects, which are typically created by the \code{\link{corpusQuery}} method,
+\code{KorAPQuery} objects, which are typically created by the \code{\link[=corpusQuery]{corpusQuery()}} method,
 represent the current state of a query to a KorAP server.
 
-\bold{\code{corpusQuery}} performs a corpus query via a connection to a KorAP-API-server
+\strong{\code{corpusQuery}} performs a corpus query via a connection to a KorAP-API-server
 
-\bold{\code{fetchNext}} fetches the next bunch of results of a KorAP query.
+\strong{\code{fetchNext}} fetches the next bunch of results of a KorAP query.
 
-\bold{\code{fetchAll}} fetches all results of a KorAP query.
+\strong{\code{fetchAll}} fetches all results of a KorAP query.
 
-\bold{\code{frequencyQuery}} combines \code{\link{corpusQuery}}, \code{\link{corpusStats}} and
-\code{\link{ci}} to compute a table with the relative frequencies and
+\strong{\code{frequencyQuery}} combines \code{\link[=corpusQuery]{corpusQuery()}}, \code{\link[=corpusStats]{corpusStats()}} and
+\code{\link[=ci]{ci()}} to compute a table with the relative frequencies and
 confidence intervals of one ore multiple search terms across one or multiple
 virtual corpora.
 }
@@ -232,5 +232,5 @@
 \url{https://ids-pub.bsz-bw.de/frontdoor/index/index/docId/9026}
 }
 \seealso{
-\code{\link{KorAPConnection}}, \code{\link{fetchNext}}, \code{\link{fetchRest}}, \code{\link{fetchAll}}, \code{\link{corpusStats}}
+\code{\link[=KorAPConnection]{KorAPConnection()}}, \code{\link[=fetchNext]{fetchNext()}}, \code{\link[=fetchRest]{fetchRest()}}, \code{\link[=fetchAll]{fetchAll()}}, \code{\link[=corpusStats]{corpusStats()}}
 }
diff --git a/man/RKorAPClient-package.Rd b/man/RKorAPClient-package.Rd
index e60c721..e59738e 100644
--- a/man/RKorAPClient-package.Rd
+++ b/man/RKorAPClient-package.Rd
@@ -33,7 +33,7 @@
 \itemize{
   \item \url{https://github.com/KorAP/RKorAPClient/}
   \item \url{https://korap.ids-mannheim.de/}
-  \item \url{https://www1.ids-mannheim.de/kl/projekte/korap.html}
+  \item \url{https://www.ids-mannheim.de/digspra/kl/projekte/korap}
   \item Report bugs at \url{https://github.com/KorAP/RKorAPClient/issues}
 }
 
diff --git a/man/association-score-functions.Rd b/man/association-score-functions.Rd
index fda531a..1443bd8 100644
--- a/man/association-score-functions.Rd
+++ b/man/association-score-functions.Rd
@@ -36,24 +36,25 @@
 \item{window_size}{total window size around node (left neighbour count + right neighbour count)}
 }
 \value{
-association score
+\preformatted{         association score
+}
 }
 \description{
 Functions to calculate different collocation association scores between
 a node (target word) and words in a window around the it.
-The functions are primarily used by \code{\link{collocationScoreQuery}}.
+The functions are primarily used by \code{\link[=collocationScoreQuery]{collocationScoreQuery()}}.
 
-\bold{pmi}: pointwise mutual information
+\strong{pmi}: pointwise mutual information
 
-\bold{mi2}: pointwise mutual information squared (Daille 1994), also referred to as mutual dependency
+\strong{mi2}: pointwise mutual information squared (Daille 1994), also referred to as mutual dependency
 (Thanopoulos et al. 2002)
 
-\bold{mi3}: pointwise mutual information cubed (Daille 1994), also referred to as log-frequency biased mutual dependency)
+\strong{mi3}: pointwise mutual information cubed (Daille 1994), also referred to as log-frequency biased mutual dependency)
 (Thanopoulos et al. 2002)
 
-\bold{logDice}: log-Dice coefficient, a heuristic measure that is popular in lexicography (Rychlý 2008)
+\strong{logDice}: log-Dice coefficient, a heuristic measure that is popular in lexicography (Rychlý 2008)
 
-\bold{ll}: log-likelihood (Dunning 1993) using Stefan Evert's (2004) simplified implementation
+\strong{ll}: log-likelihood (Dunning 1993) using Stefan Evert's (2004) simplified implementation
 }
 \examples{
 \donttest{
@@ -71,7 +72,7 @@
 
 Thanopoulos, A., Fakotakis, N., Kokkinakis, G. (2002): Comparative evaluation of collocation extraction metrics. In: Proc. of LREC 2002: 620–625.
 
-Rychlý, Pavel (2008):  A lexicographer-friendly association score. In Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN, 6–9. <http://www.fi.muni.cz/usr/sojka/download/raslan2008/13.pdf>.
+Rychlý, Pavel (2008):  A lexicographer-friendly association score. In Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN, 6–9. \url{http://www.fi.muni.cz/usr/sojka/download/raslan2008/13.pdf}.
 
 Dunning, T. (1993): Accurate methods for the statistics of surprise and coincidence. Comput. Linguist. 19, 1 (March 1993), 61-74.
 
diff --git a/man/collocationAnalysis-KorAPConnection-method.Rd b/man/collocationAnalysis-KorAPConnection-method.Rd
index bcfe99e..840cd47 100644
--- a/man/collocationAnalysis-KorAPConnection-method.Rd
+++ b/man/collocationAnalysis-KorAPConnection-method.Rd
@@ -25,13 +25,13 @@
 )
 }
 \arguments{
-\item{kco}{\code{\link{KorAPConnection}} object (obtained e.g. from \code{new("KorAPConnection")}}
+\item{kco}{\code{\link[=KorAPConnection]{KorAPConnection()}} object (obtained e.g. from \code{new("KorAPConnection")}}
 
 \item{node}{target word}
 
 \item{vc}{string describing the virtual corpus in which the query should be performed. An empty string (default) means the whole corpus, as far as it is license-wise accessible.}
 
-\item{lemmatizeNodeQuery}{if TRUE, node query will be lemmatized, i.e. x -> [tt/l=x]}
+\item{lemmatizeNodeQuery}{if TRUE, node query will be lemmatized, i.e. \verb{x -> [tt/l=x]}}
 
 \item{minOccur}{minimum absolute number of observed co-occurrences to consider a collocate candidate}
 
@@ -55,13 +55,13 @@
 
 \item{expand}{if TRUE, \code{node} and \code{vc} parameters are expanded to all of their combinations}
 
-\item{...}{more arguments will be passed to \code{\link{collocationScoreQuery}}}
+\item{...}{more arguments will be passed to \code{\link[=collocationScoreQuery]{collocationScoreQuery()}}}
 }
 \value{
 Tibble with top collocates, association scores, corresponding URLs for web user interface queries, etc.
 }
 \description{
-\Sexpr[results=rd, stage=render]{lifecycle::badge("experimental")}
+\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#experimental}{\figure{lifecycle-experimental.svg}{options: alt='[Experimental]'}}}{\strong{[Experimental]}}
 
 Performs a collocation analysis for the given node (or query)
 in the given virtual corpus.
diff --git a/man/collocationScoreQuery-KorAPConnection-method.Rd b/man/collocationScoreQuery-KorAPConnection-method.Rd
index 605caf4..4aec265 100644
--- a/man/collocationScoreQuery-KorAPConnection-method.Rd
+++ b/man/collocationScoreQuery-KorAPConnection-method.Rd
@@ -22,7 +22,7 @@
 )
 }
 \arguments{
-\item{kco}{\code{\link{KorAPConnection}} object (obtained e.g. from \code{new("KorAPConnection")}}
+\item{kco}{\code{\link[=KorAPConnection]{KorAPConnection()}} object (obtained e.g. from \code{new("KorAPConnection")}}
 
 \item{node}{target word}
 
@@ -30,9 +30,9 @@
 
 \item{vc}{string describing the virtual corpus in which the query should be performed. An empty string (default) means the whole corpus, as far as it is license-wise accessible.}
 
-\item{lemmatizeNodeQuery}{logical, set to TRUE if node query should be lemmatized, i.e. x -> [tt/l=x]}
+\item{lemmatizeNodeQuery}{logical, set to TRUE if node query should be lemmatized, i.e. \verb{x -> [tt/l=x]}}
 
-\item{lemmatizeCollocateQuery}{logical, set to TRUE if collocate query should be lemmatized, i.e. x -> [tt/l=x]}
+\item{lemmatizeCollocateQuery}{logical, set to TRUE if collocate query should be lemmatized, i.e. \verb{x -> [tt/l=x]}}
 
 \item{leftContextSize}{size of the left context window}
 
@@ -53,7 +53,7 @@
 }
 \description{
 Computes various collocation association scores
-based on \code{\link{frequencyQuery}}s for a target word and a collocate.
+based on \code{\link[=frequencyQuery]{frequencyQuery()}}s for a target word and a collocate.
 }
 \examples{
 \donttest{
diff --git a/man/corpusStats-KorAPConnection-method.Rd b/man/corpusStats-KorAPConnection-method.Rd
index f514830..24f6fa0 100644
--- a/man/corpusStats-KorAPConnection-method.Rd
+++ b/man/corpusStats-KorAPConnection-method.Rd
@@ -8,7 +8,7 @@
 \S4method{corpusStats}{KorAPConnection}(kco, vc = "", verbose = kco@verbose, as.df = FALSE)
 }
 \arguments{
-\item{kco}{\code{\link{KorAPConnection}} object (obtained e.g. from \code{new("KorAPConnection")}}
+\item{kco}{\code{\link[=KorAPConnection]{KorAPConnection()}} object (obtained e.g. from \code{new("KorAPConnection")}}
 
 \item{vc}{string describing the virtual corpus. An empty string (default) means the whole corpus, as far as it is license-wise accessible.}
 
diff --git a/man/hc_add_onclick_korap_search.Rd b/man/hc_add_onclick_korap_search.Rd
new file mode 100644
index 0000000..805ff11
--- /dev/null
+++ b/man/hc_add_onclick_korap_search.Rd
@@ -0,0 +1,38 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/hc_add_onclick_korap_search.R
+\name{hc_add_onclick_korap_search}
+\alias{hc_add_onclick_korap_search}
+\title{Add KorAP search click events to highchart plots}
+\usage{
+hc_add_onclick_korap_search(hc)
+}
+\arguments{
+\item{hc}{higchart object}
+}
+\description{
+\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#experimental}{\figure{lifecycle-experimental.svg}{options: alt='[Experimental]'}}}{\strong{[Experimental]}}
+
+Adds on-click events to data points of highcharts that were constructed with
+\code{\link[=frequencyQuery]{frequencyQuery()}} or \code{\link[=collocationScoreQuery]{collocationScoreQuery()}}. Clicks on data points
+then launch KorAP web UI queries for the given query term and virtual corpus in
+a separate tab.
+}
+\examples{
+\donttest{
+library(highcharter)
+library(tidyr)
+
+new("KorAPConnection", verbose = TRUE) \%>\%
+  collocationScoreQuery("Team", "agil", vc = paste("pubDate in", c(2014:2018)),
+                        lemmatizeNodeQuery = TRUE, lemmatizeCollocateQuery = TRUE) \%>\%
+                         pivot_longer(c("O", "E")) \%>\%
+  hchart(type="spline", hcaes(label, value, group=name)) \%>\%
+  hc_add_onclick_korap_search()
+}
+
+}
+\seealso{
+Other highcharter-helpers: 
+\code{\link{hc_freq_by_year_ci}()}
+}
+\concept{highcharter-helpers}
diff --git a/man/hc_freq_by_year_ci.Rd b/man/hc_freq_by_year_ci.Rd
new file mode 100644
index 0000000..dae39e7
--- /dev/null
+++ b/man/hc_freq_by_year_ci.Rd
@@ -0,0 +1,61 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/hc_freq_by_year_ci.R
+\name{hc_freq_by_year_ci}
+\alias{hc_freq_by_year_ci}
+\title{Plot interactive frequency curves with confidence intervals}
+\usage{
+hc_freq_by_year_ci(
+  df,
+  as.alternatives = FALSE,
+  ylabel = if (as.alternatives) "\%" else "ipm",
+  smooth = FALSE,
+  ...
+)
+}
+\arguments{
+\item{df}{data frame like the value of a \code{\link[=frequencyQuery]{frequencyQuery()}}}
+
+\item{as.alternatives}{boolean decides whether queries should be treated as mutually exclusive and exhaustive wrt. to some meaningful class (e.g. spelling variants of a certain word form).}
+
+\item{ylabel}{defaults to \verb{\%} if \code{as.alternatives} is \code{TRUE} and to \code{ipm} otherwise.}
+
+\item{smooth}{boolean decides whether the graph is smoothed using the highcharts plot types spline and areasplinerange.}
+
+\item{...}{additional arguments passed to \code{\link[=hc_add_series]{hc_add_series()}}}
+}
+\description{
+\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#experimental}{\figure{lifecycle-experimental.svg}{options: alt='[Experimental]'}}}{\strong{[Experimental]}}
+
+Convenience function for plotting typical frequency by year graphs with confidence intervals using highcharter.
+
+\strong{Warning:} This function may be moved to a new package.
+}
+\examples{
+\donttest{year <- c(1990:2018)}\dontshow{year <- c(2013:2013)}
+\donttest{alternatives <- c("macht []{0,3} Sinn", "ergibt []{0,3} Sinn")}\dontshow{alternatives <- c("macht []{0,3} Sinn")}
+new("KorAPConnection", verbose = TRUE) \%>\%
+  frequencyQuery(query = alternatives,
+                 vc = paste("textType = /Zeit.*/ & pubDate in", year),
+                 as.alternatives = TRUE) \%>\%
+  hc_freq_by_year_ci(as.alternatives = TRUE)
+
+\donttest{
+kco <- new("KorAPConnection", verbose = TRUE)
+expand_grid(
+  condition = c("textDomain = /Wirtschaft.*/", "textDomain != /Wirtschaft.*/"),
+  year = (2005:2011)
+) \%>\%
+  cbind(frequencyQuery(
+    kco,
+    "[tt/l=Heuschrecke]",
+    paste0(.$condition, " & pubDate in ", .$year)
+  ))  \%>\%
+  hc_freq_by_year_ci()
+}
+
+}
+\seealso{
+Other highcharter-helpers: 
+\code{\link{hc_add_onclick_korap_search}()}
+}
+\concept{highcharter-helpers}
diff --git a/man/highcharter-helpers.Rd b/man/highcharter-helpers.Rd
deleted file mode 100644
index 94716c8..0000000
--- a/man/highcharter-helpers.Rd
+++ /dev/null
@@ -1,76 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/highcharter-helper.R
-\name{highcharter-helpers}
-\alias{highcharter-helpers}
-\alias{hc_freq_by_year_ci}
-\alias{hc_add_onclick_korap_search}
-\title{Helper functions for producing highcharts}
-\usage{
-hc_freq_by_year_ci(
-  df,
-  as.alternatives = FALSE,
-  ylabel = if (as.alternatives) "\%" else "ipm",
-  smooth = FALSE,
-  ...
-)
-
-hc_add_onclick_korap_search(hc)
-}
-\arguments{
-\item{df}{data frame like the value of a \code{\link{frequencyQuery}}}
-
-\item{as.alternatives}{boolean decides whether queries should be treated as mutually exclusive and exhaustive wrt. to some meaningful class (e.g. spelling variants of a certain word form).}
-
-\item{ylabel}{defaults to \% if \code{as.alternatives} is \code{true} and to "ipm" otherwise.}
-
-\item{smooth}{boolean decides whether the graph is smoothed using the highcharts plot types spline and areasplinerange.}
-
-\item{...}{additional arguments passed to \code{\link{hc_add_series}}}
-
-\item{hc}{highchart}
-}
-\description{
-Experimental convenience function for plotting typical frequency by year graphs with confidence intervals using highcharter.
-\bold{Warning:} This function may be moved to a new package.
-
-Adds on-click events to data points of highcharts that were constructed with
-\code{\link{frequencyQuery}} or \code{\link{collocationScoreQuery}}. Clicks on data points
-then launch KorAP web UI queries for the given query term and virtual corpus in
-a separate tab.
-}
-\examples{
-\donttest{year <- c(1990:2018)}\dontshow{year <- c(2013:2013)}
-\donttest{alternatives <- c("macht []{0,3} Sinn", "ergibt []{0,3} Sinn")}\dontshow{alternatives <- c("macht []{0,3} Sinn")}
-new("KorAPConnection", verbose = TRUE) \%>\%
-  frequencyQuery(query = alternatives,
-                 vc = paste("textType = /Zeit.*/ & pubDate in", year),
-                 as.alternatives = TRUE) \%>\%
-  hc_freq_by_year_ci(as.alternatives = TRUE)
-
-\donttest{
-kco <- new("KorAPConnection", verbose = TRUE)
-expand_grid(
-  condition = c("textDomain = /Wirtschaft.*/", "textDomain != /Wirtschaft.*/"),
-  year = (2005:2011)
-) \%>\%
-  cbind(frequencyQuery(
-    kco,
-    "[tt/l=Heuschrecke]",
-    paste0(.$condition, " & pubDate in ", .$year)
-  ))  \%>\%
-  hc_freq_by_year_ci()
-}
-
-\donttest{
-library(highcharter)
-library(tidyr)
-
-new("KorAPConnection", verbose = TRUE) \%>\%
-  collocationScoreQuery("Team", "agil", vc = paste("pubDate in", c(2014:2018)),
-                        lemmatizeNodeQuery = TRUE, lemmatizeCollocateQuery = TRUE) \%>\%
-                         pivot_longer(c("O", "E")) \%>\%
-  hchart(type="spline", hcaes(label, value, group=name)) \%>\%
-  hc_add_onclick_korap_search()
-}
-
-}
diff --git a/man/misc-functions.Rd b/man/misc-functions.Rd
index e3c0630..aad5c80 100644
--- a/man/misc-functions.Rd
+++ b/man/misc-functions.Rd
@@ -20,7 +20,7 @@
 geom_freq_by_year_ci(mapping = aes(ymin = conf.low, ymax = conf.high), ...)
 }
 \arguments{
-\item{df}{table returned from \code{\link{frequencyQuery}}}
+\item{df}{table returned from \code{\link[=frequencyQuery]{frequencyQuery()}}}
 
 \item{x}{column with the observed absolute frequency.}
 
@@ -47,10 +47,12 @@
 string or vector of strings with clipped off common prefixes and suffixes
 }
 \description{
-Using \code{\link{prop.test}}, \code{ci} adds three columns to a data frame:
-1. relative frequency (\code{f})
-2. lower bound of a confidence interval (\code{ci.low})
-3. upper bound of a confidence interval
+Using \code{\link[=prop.test]{prop.test()}}, \code{ci} adds three columns to a data frame:
+\enumerate{
+\item relative frequency (\code{f})
+\item lower bound of a confidence interval (\code{ci.low})
+\item upper bound of a confidence interval
+}
 
 Convenience function for converting frequency tables to instances per
 million.
@@ -62,10 +64,10 @@
 by clipping off prefixes and suffixes that are common to all query strings.
 
 Experimental convenience function for plotting typical frequency by year graphs with confidence intervals using ggplot2.
-\bold{Warning:} This function may be moved to a new package.
+\strong{Warning:} This function may be moved to a new package.
 }
 \details{
-Given a table with columns \code{f}, \code{conf.low}, and \code{conf.high}, \code{ipm} ads a \code{column ipm}
+Given a table with columns \code{f}, \code{conf.low}, and \code{conf.high}, \code{ipm} ads a \verb{column ipm}
 und multiplies conf.low and \code{conf.high} with 10^6.
 }
 \examples{
@@ -106,5 +108,5 @@
 }
 }
 \seealso{
-\code{ci} is already included in \code{\link{frequencyQuery}}
+\code{ci} is already included in \code{\link[=frequencyQuery]{frequencyQuery()}}
 }
diff --git a/man/pipe.Rd b/man/pipe.Rd
index 32004dc..07c1c18 100644
--- a/man/pipe.Rd
+++ b/man/pipe.Rd
@@ -7,6 +7,6 @@
 lhs \%>\% rhs
 }
 \description{
-See \code{magrittr::\link[magrittr:pipe]{\%>\%}} for details.
+See \verb{magrittr::[\\\%>\\\%][magrittr::pipe]} for details.
 }
 \keyword{internal}
diff --git a/man/synsemanticStopwords.Rd b/man/synsemanticStopwords.Rd
index 54b82ad..560e53f 100644
--- a/man/synsemanticStopwords.Rd
+++ b/man/synsemanticStopwords.Rd
@@ -13,7 +13,7 @@
 Vector of synsemantic stopwords.
 }
 \description{
-\Sexpr[results=rd, stage=render]{lifecycle::badge("experimental")}
+\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#experimental}{\figure{lifecycle-experimental.svg}{options: alt='[Experimental]'}}}{\strong{[Experimental]}}
 
 Preliminary synsemantic stopwords function to be used in collocation analysis.
 }