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incremental updates
added label control to plot_ord_odds
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@ -1,7 +1,7 @@
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Package: daDoctoR
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Package: daDoctoR
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Type: Package
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Type: Package
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Title: FUNCTIONS FOR HEALTH RESEARCH
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Title: FUNCTIONS FOR HEALTH RESEARCH
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Version: 0.1.0.9021
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Version: 0.1.0.9022
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Author@R: c(person("Andreas", "Gammelgaard Damsbo", email = "agdamsbo@pm.me", role = c("cre", "aut")))
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Author@R: c(person("Andreas", "Gammelgaard Damsbo", email = "agdamsbo@pm.me", role = c("cre", "aut")))
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Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
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Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
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Description: I am a Danish medical doctor involved in neuropsychiatric research.
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Description: I am a Danish medical doctor involved in neuropsychiatric research.
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@ -5,6 +5,8 @@
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#' @param title plot title
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#' @param title plot title
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#' @param dec decimals for labels
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#' @param dec decimals for labels
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#' @param lbls labels for variable names. Carefull, as the right order is not checked automatically!
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#' @param lbls labels for variable names. Carefull, as the right order is not checked automatically!
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#' @param hori labels the horizontal axis (this i the y axis as the plot is rotated)
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#' @param vert labels the horizontal axis (this i the x axis as the plot is rotated)
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#' @param short flag to half number of ticks on horizontal axis.
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#' @param short flag to half number of ticks on horizontal axis.
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#' @param input can be either "model", which is a olr model (polr()), or "df", which is a dataframe whith three columns for OR, lower CI and upper CI-
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#' @param input can be either "model", which is a olr model (polr()), or "df", which is a dataframe whith three columns for OR, lower CI and upper CI-
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#' @keywords forestplot
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#' @keywords forestplot
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@ -12,7 +14,7 @@
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#' @examples
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#' @examples
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#' plot_ord_odds()
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#' plot_ord_odds()
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plot_ord_odds<-function(x, title = NULL,dec=3,lbls=NULL,short=FALSE,input="model"){
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plot_ord_odds<-function(x, title = NULL,dec=3,lbls=NULL,hori="OR (95 % CI)",vert="Variables",short=FALSE,input="model"){
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require(ggplot2)
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require(ggplot2)
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@ -48,6 +50,6 @@ plot_ord_odds<-function(x, title = NULL,dec=3,lbls=NULL,short=FALSE,input="model
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scale_y_log10(breaks=ticks, labels = ticks) +
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scale_y_log10(breaks=ticks, labels = ticks) +
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geom_hline(yintercept = 1, linetype=2) +
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geom_hline(yintercept = 1, linetype=2) +
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coord_flip() +
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coord_flip() +
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labs(title = title, x = "Variables", y = "OR (95 % CI)") +
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labs(title = title, x = vert, y = hori) +
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theme_bw()
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theme_bw()
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}
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}
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@ -4,7 +4,8 @@
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\alias{plot_ord_odds}
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\alias{plot_ord_odds}
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\title{Forrest plot from ordinal logistic regression}
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\title{Forrest plot from ordinal logistic regression}
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\usage{
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\usage{
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plot_ord_odds(x, title = NULL, dec = 3, lbls = NULL, short = FALSE,
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plot_ord_odds(x, title = NULL, dec = 3, lbls = NULL,
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hori = "OR (95 \% CI)", vert = "Variables", short = FALSE,
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input = "model")
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input = "model")
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}
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}
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\arguments{
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\arguments{
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@ -16,6 +17,10 @@ plot_ord_odds(x, title = NULL, dec = 3, lbls = NULL, short = FALSE,
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\item{lbls}{labels for variable names. Carefull, as the right order is not checked automatically!}
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\item{lbls}{labels for variable names. Carefull, as the right order is not checked automatically!}
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\item{hori}{labels the horizontal axis (this i the y axis as the plot is rotated)}
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\item{vert}{labels the horizontal axis (this i the x axis as the plot is rotated)}
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\item{short}{flag to half number of ticks on horizontal axis.}
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\item{short}{flag to half number of ticks on horizontal axis.}
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\item{input}{can be either "model", which is a olr model (polr()), or "df", which is a dataframe whith three columns for OR, lower CI and upper CI-}
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\item{input}{can be either "model", which is a olr model (polr()), or "df", which is a dataframe whith three columns for OR, lower CI and upper CI-}
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@ -20,7 +20,7 @@ strobe_diff_byvar(meas, var, group, adj, data, dec = 2)
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\item{groups}{groups to compare, as string.}
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\item{groups}{groups to compare, as string.}
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}
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}
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\description{
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\description{
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Printable table of three dimensional regression analysis of group vs var for meas. By var.
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Printable table of three dimensional regression analysis of group vs var for meas. By var. Includes p-values.
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}
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}
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\examples{
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\examples{
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strobe_diff_byvar()
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strobe_diff_byvar()
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@ -32,3 +32,4 @@ updatePackageVersion <- function(packageLocation ="."){
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## Return the updated version number to screen
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## Return the updated version number to screen
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return(vFinal)
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return(vFinal)
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}
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}
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