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R/report.doc.R
In ClinReport: Statistical Reporting for Scientific Publications, Epidemiological Studies and Clinical Trials
Defines functions
report.doc
report.doc.desc
report.doc.anova
Documented in
report.doc
report.doc.anova
report.doc.desc
# TODO: Add comment
#
# Author: jfcollin
###############################################################################
###############################################################################
# Author: jfcollin
###############################################################################
.output=new.env(parent = emptyenv())
#' Export a statistical table into a 'Microsoft Word' or a R markdown document
#'
#' @param table A desc object that report statistics (the results of \code{report.quanti} or \code{report.quali})
#' @param title Character. The title of the table
#' @param colspan.value Character. Add the label of the x1 variable levels (typically "Treatment Groups")
#' @param doc NULL or a rdocx object
#' @param numbering Logical. If TRUE Output numbers are added before the title.
#' @param anova Logical. Used to specify if the table is an anova table. By default it's not
#' @param init.numbering Logical. If TRUE Start numbering of the output at 1, otherwise it increase the output numbering of 1 unit
#' @param font.name Character. Passed to \code{\link{font}} function. Set the font of the output in Word
#' @param font.size Numeric. Passed to \code{\link{fontsize}} function. Set the font size of the output in Word
#' @param page.break Logical. If TRUE it adds a page break after the output. Default to TRUE
#' @param valign Logical. If TRUE it aligns vertically the levels of the merged cells in the first column
#' @param ... Other arguments
#'
#'
#' @description
#' \code{report.doc}
#' This function enables to export the table created with \code{\link{report.quali}} \code{\link{report.quanti}} or \code{\link{report.lsmeans}}
#' to a Microsoft Word or a R markdown document.
#'
#' It's also possible to use report.doc to have a preview of the table in HTML format if the \code{doc} argument is NULL.
#'
#' For more examples see the website: \href{https://jfrancoiscollin.github.io/ClinReport}{ClinReport website}
#'
#' @details
#'
#' This function creates a flextable object from a desc object.
#'
#' \strong{For Microsoft Word documents:}
#'
#' The argument \code{doc} should be used so the flextable is added to a rdocx object.
#'
#' Like:
#'
#' \code{doc=read_docx()}
#'
#' \code{tab=report.quanti(data=data,y="y_numeric",x1="GROUP")}
#'
#' \code{doc=report.doc(tab,doc=doc)}
#'
#' \strong{For R markdown documents:}
#'
#' Just don't use the \code{doc} argument. Something like:
#'
#' ```\{r, include=TRUE\} \cr
#' \code{tab=report.quanti(data=data,y="y_numeric",x1="GROUP")} \cr
#' \code{doc=report.doc(tab)} \cr
#' \code{doc} \cr
#' ``` \cr
#'
#'
#' @return
#' A flextable object (if doc=NULL) or a rdocx object (if doc= an rdocx object).
#'
#' @seealso \code{\link{report.quali}} \code{\link{report.quanti}} \code{\link{report.lsmeans}} \code{\link{desc}}
#' @examples
#' \dontshow{
#'
#'
#'library(officer)
#'library(flextable)
#'library(reshape2)
#'library(emmeans)
#'library(lme4)
#'library(nlme)
#'
#'data(datafake)
#'
#'tab=report.quanti(data=datafake,y="y_numeric",
#' x1="GROUP",x2="TIMEPOINT",at.row="TIMEPOINT",subjid="SUBJID")
#'
#'mod=glm(y_logistic~GROUP+TIMEPOINT+GROUP*TIMEPOINT,
#'family=binomial,data=datafake,na.action=na.omit)
#'
#'test=emmeans(mod,~GROUP|TIMEPOINT)
#'
#'tab.mod=report.lsmeans(lsm=test)
#'
#'
#'doc=read_docx()
#'
#'doc=body_add_par(doc,"A statistical report using ClinReport", style = "heading 1")
#'
#'doc=report.doc(tab,title="Quantitative statistics",
#' colspan.value="Treatment group",doc=doc,init.numbering=TRUE)
#'
#'
#'doc=report.doc(tab.mod,title="Generalized Linear Mixed Model LS-Means results using lme",
#' colspan.value="Treatment group",doc=doc)
#'
#' }
#'
#'
#'\donttest{
#'
#' #####################
#' # Import libraries
#' #####################
#'
#'library(officer)
#'library(flextable)
#'library(reshape2)
#'library(emmeans)
#'library(lme4)
#'library(nlme)
#'library(ggplot2)
#'library(car)
#'library(xtable)
#'
#' #####################
#' # Load data
#' #####################
#'
#'data(datafake)
#'head(datafake)
#'
#' # Removing baseline data for the model
#'
#'data.mod=droplevels(datafake[datafake$TIMEPOINT!="D0",])
#'
#' #####################
#' # Create your stats tables and graphics
#' #####################
#'
#' # Quatitative stats (2 explicative variables) ##################################
#' # since it's a big enough table, we don't want it to overlap 2 pasges
#' # so we split it in two with split.desc function
#'
#'tab1=report.quanti(data=datafake,y="y_numeric",
#' x1="GROUP",x2="TIMEPOINT",at.row="TIMEPOINT",subjid="SUBJID")
#'
#'
#'s=split(tab1,variable="TIMEPOINT",at=3)
#'
#'tab1.1=s$x1
#'tab1.2=s$x2
#'
#'
#' gg=plot(tab1,title="Mean response evolution as a function of time by treatment group",
#' legend.label="Treatment groups",ylab="Y mean")
#'
#' # Qualitative stats (2 explicative variables) ##################################
#'
#'tab2=report.quali(data=datafake,y="y_logistic",
#' x1="GROUP",x2="TIMEPOINT",at.row="TIMEPOINT",total=TRUE,subjid="SUBJID")
#'
#' gg2=plot(tab2,title="Response distribution (%) by day and treatment group",
#' legend.label="Y levels")
#'
#' # Qualitative stats (no explicative variable) ###################################
#'
#'tab3=report.quali(data=datafake,y="VAR",y.label="Whatever")
#'
#' # Qualitative stats (no explicative variables ; add number of subjects in header)#
#'
#'tab4=report.quali(data=datafake,y="VAR",y.label="Whatever",
#' subjid="SUBJID")
#'
#' # Qualitative stats (1 explicative variable)#######################################
#'
#'tab5=report.quali(data=datafake,y="VAR",y.label="Whatever",x1="GROUP",
#' subjid="SUBJID")
#'
#'
#'# Quantitative stats (1 explicative variable)#######################################
#'
#'tab6=report.quanti(data=datafake,y="y_numeric",y.label="Whatever 2",x1="GROUP",
#' subjid="SUBJID")
#'
#'# Quali-Quanti table
#'
#'tab5.6=regroup(tab5,tab6)
#'
#'
#' # Linear model (order 2 interaction): Anova and LS-Means reporting ################
#'
#'mod1=lm(y_numeric~baseline+GROUP+TIMEPOINT+GROUP*TIMEPOINT,data=data.mod)
#'test1=emmeans(mod1,~GROUP|TIMEPOINT)
#'
#'anov1=Anova(mod1)
#'
#'tab.mod1=report.lsmeans(lsm=test1)
#'
#'gg.mod1=plot(tab.mod1,title="LS-Means response evolution as a function of time\n
#' by treatment group (95% CI)",
#' legend.label="Treatment groups",ylab="Y mean",add.ci=TRUE)
#'
#' # Linear model (1 group only): Anova and LS-Means and graph reporting ################
#'
#'mod2=lm(y_numeric~baseline+GROUP,data=data.mod)
#'
#'anov2=Anova(mod2,type=3)
#'
#'test2=emmeans(mod2,~GROUP)
#'tab.mod2=report.lsmeans(lsm=test2)
#'
#'
#'gg.mod2=plot(tab.mod2,title="LS-Means response\nby treatment group (95% CI)",
#' legend.label="Treatment groups",ylab="Y mean",add.ci=TRUE)
#'
#' # Linear mixed model (order 2 interaction):
#' # Anova and LS-Means and graph reporting #################
#'
#'mod3=lme(y_numeric~baseline+GROUP+TIMEPOINT+GROUP*TIMEPOINT,
#'random=~1|SUBJID,data=data.mod,na.action=na.omit)
#'
#'anov3=Anova(mod3,3)
#'
#'test3=emmeans(mod3,~GROUP|TIMEPOINT)
#'
#'tab.mod3=report.lsmeans(lsm=test3)
#'
#'gg.mod3=plot(tab.mod3,title="LS-Means response evolution as a function of time\n
#'by treatment group (95% CI Mixed model)",
#' legend.label="Treatment groups",ylab="Y mean",add.ci=TRUE)
#'
#' # Contrast example
#'
#'contr=contrast(test3, "trt.vs.ctrl", ref = "A")
#'
#'tab.mod3.contr=report.lsmeans(lsm=contr)
#'
#'gg.mod3.contr=plot(tab.mod3.contr,title="LS-Means contrast versus reference A\n
#' (95% CI Mixed model)",
#' legend.label="Treatment groups",ylab="Y mean",add.ci=TRUE,add.line=FALSE)
#'
#'
#' ############################################################
#' # Generalized Logistic Linear model (order 2 interaction):
#' ############################################################
#'
#' # Anova LS-Means and graph reporting ##########
#'
#'mod4=glm(y_logistic~baseline+GROUP+TIMEPOINT+GROUP*TIMEPOINT,
#' family=binomial,data=data.mod,na.action=na.omit)
#'
#'anov4=Anova(mod4,3)
#'
#'test4=emmeans(mod4,~GROUP|TIMEPOINT)
#'
#'tab.mod4=report.lsmeans(lsm=test4,at.row="TIMEPOINT")
#'
#'gg.mod4=plot(tab.mod4,title="LS-Means response evolution as a function of time\n
#'by treatment group (95% CI Logistic model)",
#' legend.label="Treatment groups",ylab="Y mean",add.ci=TRUE)
#'
#' # Generalized Poisson Linear model (order 2 interaction):
#' # Anova LS-Means and graph reporting #'
#'
#'
#'mod5=glm(y_poisson~baseline+GROUP+TIMEPOINT+GROUP*TIMEPOINT,
#' family=poisson,data=data.mod,na.action=na.omit)
#'
#'anov5=Anova(mod5,3)
#'
#'
#'test5=emmeans(mod5,~GROUP|TIMEPOINT)
#'
#'tab.mod5=report.lsmeans(lsm=test5,at.row="TIMEPOINT")
#'
#'
#'gg.mod5=plot(tab.mod5,title="LS-Means response evolution as a function of time\n
#'by treatment group (95% CI Poisson model)",
#' legend.label="Treatment groups",ylab="Y mean",add.ci=TRUE)
#'
#' #####################
#' # Create your report
#' #####################
#'
#'
#'doc=read_docx()
#'doc=body_add_toc(doc)
#'
#'
#'doc=body_add_par(doc,"A beautiful reporting using ClinReport", style = "heading 1")
#'
#'doc=body_add_par(doc,"Descriptive statistics", style = "heading 2")
#'
#'doc=report.doc(tab1.1,title="Quantitative statistics (2 explicative variables) (Table 1/2)",
#' colspan.value="Treatment group",doc=doc,init.numbering=TRUE,
#' page.break=FALSE)
#'
#'doc=report.doc(tab1.2,title="Quantitative statistics (2 explicative variables) (Table 2/2)",
#' colspan.value="Treatment group",doc=doc)
#'
#'doc=body_add_par(doc,"Corresponding graphic of outputs 1 & 2", style ="Normal")
#'
#'doc=body_add_gg(doc, value = gg, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'doc=report.doc(tab2,title="Qualitative statistics (2 explicative variables)",
#' colspan.value="Treatment group",doc=doc)
#'
#'
#' doc=report.doc(tab2,title="The same with smaller font size",
#' colspan.value="Treatment group",doc=doc,font.size=8)
#'
#'doc=body_add_par(doc,"Corresponding graphic of output 3", style ="Normal")
#'
#'doc=body_add_gg(doc, value = gg2, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'doc=body_add_par(doc,"Example of mixing qualitative and quantitative
#'statistics with the function regroup", style ="Normal")
#'
#'doc=report.doc(tab5.6,title="Quali-Qanti statistics (1 variable only)",doc=doc)
#'
#'doc=body_add_par(doc,"Statistical model results", style = "heading 2")
#'
#'doc=body_add_par(doc,"Model 1", style = "heading 3")
#'
#'doc=body_add_par(doc,"Anova table example", style = "Normal")
#'
#'doc=report.doc(anov1,doc=doc)
#'
#'doc=body_add_par(doc,"LS-Means example", style = "Normal")
#'
#'doc=report.doc(tab.mod1,title="Linear Model LS-Means results using lm with interactions",
#' colspan.value="Treatment group",doc=doc)
#'
#'doc=body_add_gg(doc, value = gg.mod1, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'
#'doc=body_add_par(doc,"Model 2", style = "heading 3")
#'
#'
#'doc=report.doc(anov2,doc=doc)
#'
#'
#'doc=report.doc(tab.mod2,title="Linear Model LS-Means results using lm without interaction",
#' colspan.value="Treatment group",doc=doc)
#'
#'doc=body_add_gg(doc, value = gg.mod2, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'
#'doc=body_add_par(doc,"Model 3", style = "heading 3")
#'
#'doc=report.doc(anov3,doc=doc)
#'
#'
#'doc=report.doc(tab.mod3,title="Linear Mixed Model LS-Means results using lme",
#' colspan.value="Treatment group",doc=doc)
#'
#'doc=body_add_gg(doc, value = gg.mod3, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'
#'doc=report.doc(tab.mod3.contr,title="LS-Means Contrast example",
#' colspan.value="Timepoints",doc=doc)
#'
#'doc=body_add_gg(doc, value = gg.mod3.contr, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'
#'
#'
#'doc=body_add_par(doc,"Model 4", style = "heading 3")
#'
#'doc=report.doc(anov4,doc=doc)
#'
#'
#'doc=report.doc(tab.mod4,title="Generalized Linear Mixed Model LS-Means results using glm",
#' colspan.value="Treatment group",doc=doc)
#'
#'doc=body_add_gg(doc, value = gg.mod4, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'
#'doc=body_add_par(doc,"Model 5", style = "heading 3")
#'
#'doc=report.doc(anov5,doc=doc)
#'
#'doc=report.doc(tab.mod5,title="Poisson Model LS-Means results",
#' colspan.value="Treatment group",doc=doc)
#'
#'doc=body_add_gg(doc, value = gg.mod5, style = "centered" )
#'
#'
#'
#'file=paste(tempfile(),".docx",sep="")
#'print(doc, target =file)
#'shell.exec(file)
#'
#' }
#'
#' @import officer flextable
#'
#' @rdname report.doc
#' @export
report.doc <- function(table,...)
{
UseMethod("report.doc")
}
#' @rdname report.doc
#' @export
report.doc.desc=function(table,title=NULL,colspan.value=NULL,doc=NULL,
init.numbering=F,numbering=T,font.name="Times",page.break=T,
font.size=10,valign=F,...)
{
total=table$total
nb.col=table$nbcol
output=table$output
if(table$type.desc=="lsmeans")
{
if(table$type.mod=="quali") footnote=paste0("LS-Means are given in ",table$type," scale.")
}
# n.stat= number of columns that reports statistics
# not counting the Total column
n.stat=ncol(output)-nb.col
if(total) n.stat=n.stat-1
#Initialize the numbering if this function is launched for the first time
if(is.null(.output$number)) .output$number=1
#Re-initialize if init.numbering =T
if(init.numbering) .output$number=1
# Add output numbering to the title
if(numbering)
{
if(!is.null(title))
{
title= paste0("Table ",get("number",envir=.output),": ",c(title))
}else
{
title= paste0("Table ",get("number",envir=.output),": ",c(table$title))
}
}
# Increase numbering by one
.output$number=.output$number+1
#####################
# naked flextable
ft=regulartable(output,col_keys = colnames(output))
ft <- border_remove(ft)
ft=autofit(ft)
# Add colspan.value as header
if(!is.null(colspan.value))
{
nb.group=ncol(output)-nb.col
values=c(rep("",nb.col),colspan.value)
colwidths=c(rep(1,nb.col),nb.group)
if(total)
{
nb.group=nb.group-1
values=c(values,"")
colwidths=c(rep(1,nb.col),nb.group)
colwidths=c(colwidths,1)
}
ft=add_header_row(ft,values=values,colwidths=colwidths)
ft <- flextable::align(ft,align = "center", part = "header")
}
# Add title line
ft <- add_header_row(ft, values =title,colwidths=ncol(output))
# headers in bold and bg in grey for title
ft <- bold(ft, part = "header")
# ft <- bold(ft, j=1:nb.col,part = "body")
ft <- bg(ft,i=1,bg="#DCDCDC", part = "header")
# Add lines
if(!is.null(colspan.value))
{
ft=hline(ft, i=1,border = fp_border(width = 2), part = "header" )
ft=hline(ft, i=2,j=(nb.col+1):(nb.col+n.stat),border = fp_border(width = 2), part = "header" )
ft=hline(ft, i=3,border = fp_border(width = 2), part = "header" )
}else
{
ft=hline(ft, border = fp_border(width = 2), part = "header" )
}
ft=hline_top(ft, border = fp_border(width = 2), part = "header" )
# ft=hline_bottom(ft, border = fp_border(width = 2), part = "body" )
ft=add_footer_row(ft,top=FALSE, values ="",colwidths=ncol(output))
ft=hline_bottom(ft, border = fp_border(width = 2), part = "footer")
if(is.null(table$at.row))
{
ft=vline(ft,j =1:nb.col,border = fp_border(width = 1),part = "body")
}
else
{
i=space_vline(output,table$at.row)
ft=vline(ft, i=i,j =1:nb.col,border = fp_border(width = 1),part = "body")
}
# merge first column in case there are repetitions
ft=merge_v(ft,j=1)
if(valign) ft=valign(ft, j = 1, valign = "top", part = "body")
# change font
ft=font(ft,fontname=font.name,part ="all")
ft=fontsize(ft,size=font.size,part ="all")
# change row height
ft=height_all(ft, height=0.1, part = "body")
ft=height_all(ft, height=0.3, part = "header")
ft=height_all(ft, height=0.1, part = "footer")
# add foot note for LS Means to indicates the type of
# response if it's a qualitative model
if(table$type.desc=="lsmeans")
{
if(table$type.mod=="quali")
{
ft <- add_footer_row(ft,top=FALSE, values =footnote,colwidths=ncol(output))
ft <- fontsize(ft, size = font.size-1, part = "footer")
ft <-height_all(ft, height=0.3, part = "footer")
}
}
# add to doc
if(!is.null(doc))
{
if(class(doc)!="rdocx") stop("doc must be a rdocx object")
doc <- body_add_par(doc,"", style = "Normal")
doc <- body_add_flextable(doc, value = ft)
if(page.break) doc=body_add_break(doc)
return(doc)
}else
{
return(ft)
}
}
#' @param type.anova Passed to \code{Anova} function from car package (see its documentation).
#' @param pretty.label Logical. Default to FALSE. If TRUE, use the function \code{make.label} with default option on the rownames of the anova table
#'
#' @importFrom xtable xtable
#' @rdname report.doc
#'
#' @export
report.doc.anova=function(table,title="Anova table",type.anova=3,doc=NULL,numbering=T,
init.numbering=F,font.name="Times",font.size=10,page.break=T,pretty.label=FALSE,...)
{
#Initialize the numbering if this function is launched for the first time
if(is.null(.output$number)) .output$number=1
#Re-initialize if init.numbering =T
if(init.numbering) .output$number=1
# Add output numbering to the title
if(numbering)
{
title= paste0("Table ",get("number",envir=.output),": ",c(title))
}
# Increase numbering by one
.output$number=.output$number+1
ncol=ncol(as.data.frame(table))
if(pretty.label)
{
rownames(table)=make.label(rownames(table))
}
xtab=xtable(table)
ft=xtable_to_flextable(xtab,NA.string = "-")
# add title line
ft <- add_header_row(ft, values =title,colwidths=(ncol+1))
# headers in bold and bg in grey for title
ft <- bold(ft, part = "header")
#ft <- bold(ft, j=1:nb.col,part = "body")
ft <- bg(ft,i=1,bg="#DCDCDC", part = "header")
# Add lines
ft=hline(ft, border = fp_border(width = 2), part = "header" )
ft=hline_top(ft, border = fp_border(width = 2), part = "header" )
# change font
ft=flextable::font(ft,fontname=font.name,part ="all")
ft=flextable::fontsize(ft,size=font.size,part ="all")
if(!is.null(doc))
{
if(class(doc)!="rdocx") stop("doc must be a rdocx object")
doc <- body_add_par(doc,"", style = "Normal")
doc <- body_add_flextable(doc, value = ft)
if(page.break) doc=body_add_break(doc)
return(doc)
}else
{
return(ft)
}
}
#' @importFrom xtable xtable
#' @rdname report.doc
#'
#' @export
report.doc.anova.lme=report.doc.anova
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Defines functions report.doc report.doc.desc report.doc.anova
Documented in report.doc report.doc.anova report.doc.desc
# TODO: Add comment
#
# Author: jfcollin
###############################################################################
###############################################################################
# Author: jfcollin
###############################################################################
.output=new.env(parent = emptyenv())
#' Export a statistical table into a 'Microsoft Word' or a R markdown document
#'
#' @param table A desc object that report statistics (the results of \code{report.quanti} or \code{report.quali})
#' @param title Character. The title of the table
#' @param colspan.value Character. Add the label of the x1 variable levels (typically "Treatment Groups")
#' @param doc NULL or a rdocx object
#' @param numbering Logical. If TRUE Output numbers are added before the title.
#' @param anova Logical. Used to specify if the table is an anova table. By default it's not
#' @param init.numbering Logical. If TRUE Start numbering of the output at 1, otherwise it increase the output numbering of 1 unit
#' @param font.name Character. Passed to \code{\link{font}} function. Set the font of the output in Word
#' @param font.size Numeric. Passed to \code{\link{fontsize}} function. Set the font size of the output in Word
#' @param page.break Logical. If TRUE it adds a page break after the output. Default to TRUE
#' @param valign Logical. If TRUE it aligns vertically the levels of the merged cells in the first column
#' @param ... Other arguments
#'
#'
#' @description
#' \code{report.doc}
#' This function enables to export the table created with \code{\link{report.quali}} \code{\link{report.quanti}} or \code{\link{report.lsmeans}}
#' to a Microsoft Word or a R markdown document.
#'
#' It's also possible to use report.doc to have a preview of the table in HTML format if the \code{doc} argument is NULL.
#'
#' For more examples see the website: \href{https://jfrancoiscollin.github.io/ClinReport}{ClinReport website}
#'
#' @details
#'
#' This function creates a flextable object from a desc object.
#'
#' \strong{For Microsoft Word documents:}
#'
#' The argument \code{doc} should be used so the flextable is added to a rdocx object.
#'
#' Like:
#'
#' \code{doc=read_docx()}
#'
#' \code{tab=report.quanti(data=data,y="y_numeric",x1="GROUP")}
#'
#' \code{doc=report.doc(tab,doc=doc)}
#'
#' \strong{For R markdown documents:}
#'
#' Just don't use the \code{doc} argument. Something like:
#'
#' ```\{r, include=TRUE\} \cr
#' \code{tab=report.quanti(data=data,y="y_numeric",x1="GROUP")} \cr
#' \code{doc=report.doc(tab)} \cr
#' \code{doc} \cr
#' ``` \cr
#'
#'
#' @return
#' A flextable object (if doc=NULL) or a rdocx object (if doc= an rdocx object).
#'
#' @seealso \code{\link{report.quali}} \code{\link{report.quanti}} \code{\link{report.lsmeans}} \code{\link{desc}}
#' @examples
#' \dontshow{
#'
#'
#'library(officer)
#'library(flextable)
#'library(reshape2)
#'library(emmeans)
#'library(lme4)
#'library(nlme)
#'
#'data(datafake)
#'
#'tab=report.quanti(data=datafake,y="y_numeric",
#' x1="GROUP",x2="TIMEPOINT",at.row="TIMEPOINT",subjid="SUBJID")
#'
#'mod=glm(y_logistic~GROUP+TIMEPOINT+GROUP*TIMEPOINT,
#'family=binomial,data=datafake,na.action=na.omit)
#'
#'test=emmeans(mod,~GROUP|TIMEPOINT)
#'
#'tab.mod=report.lsmeans(lsm=test)
#'
#'
#'doc=read_docx()
#'
#'doc=body_add_par(doc,"A statistical report using ClinReport", style = "heading 1")
#'
#'doc=report.doc(tab,title="Quantitative statistics",
#' colspan.value="Treatment group",doc=doc,init.numbering=TRUE)
#'
#'
#'doc=report.doc(tab.mod,title="Generalized Linear Mixed Model LS-Means results using lme",
#' colspan.value="Treatment group",doc=doc)
#'
#' }
#'
#'
#'\donttest{
#'
#' #####################
#' # Import libraries
#' #####################
#'
#'library(officer)
#'library(flextable)
#'library(reshape2)
#'library(emmeans)
#'library(lme4)
#'library(nlme)
#'library(ggplot2)
#'library(car)
#'library(xtable)
#'
#' #####################
#' # Load data
#' #####################
#'
#'data(datafake)
#'head(datafake)
#'
#' # Removing baseline data for the model
#'
#'data.mod=droplevels(datafake[datafake$TIMEPOINT!="D0",])
#'
#' #####################
#' # Create your stats tables and graphics
#' #####################
#'
#' # Quatitative stats (2 explicative variables) ##################################
#' # since it's a big enough table, we don't want it to overlap 2 pasges
#' # so we split it in two with split.desc function
#'
#'tab1=report.quanti(data=datafake,y="y_numeric",
#' x1="GROUP",x2="TIMEPOINT",at.row="TIMEPOINT",subjid="SUBJID")
#'
#'
#'s=split(tab1,variable="TIMEPOINT",at=3)
#'
#'tab1.1=s$x1
#'tab1.2=s$x2
#'
#'
#' gg=plot(tab1,title="Mean response evolution as a function of time by treatment group",
#' legend.label="Treatment groups",ylab="Y mean")
#'
#' # Qualitative stats (2 explicative variables) ##################################
#'
#'tab2=report.quali(data=datafake,y="y_logistic",
#' x1="GROUP",x2="TIMEPOINT",at.row="TIMEPOINT",total=TRUE,subjid="SUBJID")
#'
#' gg2=plot(tab2,title="Response distribution (%) by day and treatment group",
#' legend.label="Y levels")
#'
#' # Qualitative stats (no explicative variable) ###################################
#'
#'tab3=report.quali(data=datafake,y="VAR",y.label="Whatever")
#'
#' # Qualitative stats (no explicative variables ; add number of subjects in header)#
#'
#'tab4=report.quali(data=datafake,y="VAR",y.label="Whatever",
#' subjid="SUBJID")
#'
#' # Qualitative stats (1 explicative variable)#######################################
#'
#'tab5=report.quali(data=datafake,y="VAR",y.label="Whatever",x1="GROUP",
#' subjid="SUBJID")
#'
#'
#'# Quantitative stats (1 explicative variable)#######################################
#'
#'tab6=report.quanti(data=datafake,y="y_numeric",y.label="Whatever 2",x1="GROUP",
#' subjid="SUBJID")
#'
#'# Quali-Quanti table
#'
#'tab5.6=regroup(tab5,tab6)
#'
#'
#' # Linear model (order 2 interaction): Anova and LS-Means reporting ################
#'
#'mod1=lm(y_numeric~baseline+GROUP+TIMEPOINT+GROUP*TIMEPOINT,data=data.mod)
#'test1=emmeans(mod1,~GROUP|TIMEPOINT)
#'
#'anov1=Anova(mod1)
#'
#'tab.mod1=report.lsmeans(lsm=test1)
#'
#'gg.mod1=plot(tab.mod1,title="LS-Means response evolution as a function of time\n
#' by treatment group (95% CI)",
#' legend.label="Treatment groups",ylab="Y mean",add.ci=TRUE)
#'
#' # Linear model (1 group only): Anova and LS-Means and graph reporting ################
#'
#'mod2=lm(y_numeric~baseline+GROUP,data=data.mod)
#'
#'anov2=Anova(mod2,type=3)
#'
#'test2=emmeans(mod2,~GROUP)
#'tab.mod2=report.lsmeans(lsm=test2)
#'
#'
#'gg.mod2=plot(tab.mod2,title="LS-Means response\nby treatment group (95% CI)",
#' legend.label="Treatment groups",ylab="Y mean",add.ci=TRUE)
#'
#' # Linear mixed model (order 2 interaction):
#' # Anova and LS-Means and graph reporting #################
#'
#'mod3=lme(y_numeric~baseline+GROUP+TIMEPOINT+GROUP*TIMEPOINT,
#'random=~1|SUBJID,data=data.mod,na.action=na.omit)
#'
#'anov3=Anova(mod3,3)
#'
#'test3=emmeans(mod3,~GROUP|TIMEPOINT)
#'
#'tab.mod3=report.lsmeans(lsm=test3)
#'
#'gg.mod3=plot(tab.mod3,title="LS-Means response evolution as a function of time\n
#'by treatment group (95% CI Mixed model)",
#' legend.label="Treatment groups",ylab="Y mean",add.ci=TRUE)
#'
#' # Contrast example
#'
#'contr=contrast(test3, "trt.vs.ctrl", ref = "A")
#'
#'tab.mod3.contr=report.lsmeans(lsm=contr)
#'
#'gg.mod3.contr=plot(tab.mod3.contr,title="LS-Means contrast versus reference A\n
#' (95% CI Mixed model)",
#' legend.label="Treatment groups",ylab="Y mean",add.ci=TRUE,add.line=FALSE)
#'
#'
#' ############################################################
#' # Generalized Logistic Linear model (order 2 interaction):
#' ############################################################
#'
#' # Anova LS-Means and graph reporting ##########
#'
#'mod4=glm(y_logistic~baseline+GROUP+TIMEPOINT+GROUP*TIMEPOINT,
#' family=binomial,data=data.mod,na.action=na.omit)
#'
#'anov4=Anova(mod4,3)
#'
#'test4=emmeans(mod4,~GROUP|TIMEPOINT)
#'
#'tab.mod4=report.lsmeans(lsm=test4,at.row="TIMEPOINT")
#'
#'gg.mod4=plot(tab.mod4,title="LS-Means response evolution as a function of time\n
#'by treatment group (95% CI Logistic model)",
#' legend.label="Treatment groups",ylab="Y mean",add.ci=TRUE)
#'
#' # Generalized Poisson Linear model (order 2 interaction):
#' # Anova LS-Means and graph reporting #'
#'
#'
#'mod5=glm(y_poisson~baseline+GROUP+TIMEPOINT+GROUP*TIMEPOINT,
#' family=poisson,data=data.mod,na.action=na.omit)
#'
#'anov5=Anova(mod5,3)
#'
#'
#'test5=emmeans(mod5,~GROUP|TIMEPOINT)
#'
#'tab.mod5=report.lsmeans(lsm=test5,at.row="TIMEPOINT")
#'
#'
#'gg.mod5=plot(tab.mod5,title="LS-Means response evolution as a function of time\n
#'by treatment group (95% CI Poisson model)",
#' legend.label="Treatment groups",ylab="Y mean",add.ci=TRUE)
#'
#' #####################
#' # Create your report
#' #####################
#'
#'
#'doc=read_docx()
#'doc=body_add_toc(doc)
#'
#'
#'doc=body_add_par(doc,"A beautiful reporting using ClinReport", style = "heading 1")
#'
#'doc=body_add_par(doc,"Descriptive statistics", style = "heading 2")
#'
#'doc=report.doc(tab1.1,title="Quantitative statistics (2 explicative variables) (Table 1/2)",
#' colspan.value="Treatment group",doc=doc,init.numbering=TRUE,
#' page.break=FALSE)
#'
#'doc=report.doc(tab1.2,title="Quantitative statistics (2 explicative variables) (Table 2/2)",
#' colspan.value="Treatment group",doc=doc)
#'
#'doc=body_add_par(doc,"Corresponding graphic of outputs 1 & 2", style ="Normal")
#'
#'doc=body_add_gg(doc, value = gg, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'doc=report.doc(tab2,title="Qualitative statistics (2 explicative variables)",
#' colspan.value="Treatment group",doc=doc)
#'
#'
#' doc=report.doc(tab2,title="The same with smaller font size",
#' colspan.value="Treatment group",doc=doc,font.size=8)
#'
#'doc=body_add_par(doc,"Corresponding graphic of output 3", style ="Normal")
#'
#'doc=body_add_gg(doc, value = gg2, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'doc=body_add_par(doc,"Example of mixing qualitative and quantitative
#'statistics with the function regroup", style ="Normal")
#'
#'doc=report.doc(tab5.6,title="Quali-Qanti statistics (1 variable only)",doc=doc)
#'
#'doc=body_add_par(doc,"Statistical model results", style = "heading 2")
#'
#'doc=body_add_par(doc,"Model 1", style = "heading 3")
#'
#'doc=body_add_par(doc,"Anova table example", style = "Normal")
#'
#'doc=report.doc(anov1,doc=doc)
#'
#'doc=body_add_par(doc,"LS-Means example", style = "Normal")
#'
#'doc=report.doc(tab.mod1,title="Linear Model LS-Means results using lm with interactions",
#' colspan.value="Treatment group",doc=doc)
#'
#'doc=body_add_gg(doc, value = gg.mod1, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'
#'doc=body_add_par(doc,"Model 2", style = "heading 3")
#'
#'
#'doc=report.doc(anov2,doc=doc)
#'
#'
#'doc=report.doc(tab.mod2,title="Linear Model LS-Means results using lm without interaction",
#' colspan.value="Treatment group",doc=doc)
#'
#'doc=body_add_gg(doc, value = gg.mod2, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'
#'doc=body_add_par(doc,"Model 3", style = "heading 3")
#'
#'doc=report.doc(anov3,doc=doc)
#'
#'
#'doc=report.doc(tab.mod3,title="Linear Mixed Model LS-Means results using lme",
#' colspan.value="Treatment group",doc=doc)
#'
#'doc=body_add_gg(doc, value = gg.mod3, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'
#'doc=report.doc(tab.mod3.contr,title="LS-Means Contrast example",
#' colspan.value="Timepoints",doc=doc)
#'
#'doc=body_add_gg(doc, value = gg.mod3.contr, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'
#'
#'
#'doc=body_add_par(doc,"Model 4", style = "heading 3")
#'
#'doc=report.doc(anov4,doc=doc)
#'
#'
#'doc=report.doc(tab.mod4,title="Generalized Linear Mixed Model LS-Means results using glm",
#' colspan.value="Treatment group",doc=doc)
#'
#'doc=body_add_gg(doc, value = gg.mod4, style = "centered" )
#'
#'doc=body_add_break(doc)
#'
#'
#'doc=body_add_par(doc,"Model 5", style = "heading 3")
#'
#'doc=report.doc(anov5,doc=doc)
#'
#'doc=report.doc(tab.mod5,title="Poisson Model LS-Means results",
#' colspan.value="Treatment group",doc=doc)
#'
#'doc=body_add_gg(doc, value = gg.mod5, style = "centered" )
#'
#'
#'
#'file=paste(tempfile(),".docx",sep="")
#'print(doc, target =file)
#'shell.exec(file)
#'
#' }
#'
#' @import officer flextable
#'
#' @rdname report.doc
#' @export
report.doc <- function(table,...)
{
UseMethod("report.doc")
}
#' @rdname report.doc
#' @export
report.doc.desc=function(table,title=NULL,colspan.value=NULL,doc=NULL,
init.numbering=F,numbering=T,font.name="Times",page.break=T,
font.size=10,valign=F,...)
{
total=table$total
nb.col=table$nbcol
output=table$output
if(table$type.desc=="lsmeans")
{
if(table$type.mod=="quali") footnote=paste0("LS-Means are given in ",table$type," scale.")
}
# n.stat= number of columns that reports statistics
# not counting the Total column
n.stat=ncol(output)-nb.col
if(total) n.stat=n.stat-1
#Initialize the numbering if this function is launched for the first time
if(is.null(.output$number)) .output$number=1
#Re-initialize if init.numbering =T
if(init.numbering) .output$number=1
# Add output numbering to the title
if(numbering)
{
if(!is.null(title))
{
title= paste0("Table ",get("number",envir=.output),": ",c(title))
}else
{
title= paste0("Table ",get("number",envir=.output),": ",c(table$title))
}
}
# Increase numbering by one
.output$number=.output$number+1
#####################
# naked flextable
ft=regulartable(output,col_keys = colnames(output))
ft <- border_remove(ft)
ft=autofit(ft)
# Add colspan.value as header
if(!is.null(colspan.value))
{
nb.group=ncol(output)-nb.col
values=c(rep("",nb.col),colspan.value)
colwidths=c(rep(1,nb.col),nb.group)
if(total)
{
nb.group=nb.group-1
values=c(values,"")
colwidths=c(rep(1,nb.col),nb.group)
colwidths=c(colwidths,1)
}
ft=add_header_row(ft,values=values,colwidths=colwidths)
ft <- flextable::align(ft,align = "center", part = "header")
}
# Add title line
ft <- add_header_row(ft, values =title,colwidths=ncol(output))
# headers in bold and bg in grey for title
ft <- bold(ft, part = "header")
# ft <- bold(ft, j=1:nb.col,part = "body")
ft <- bg(ft,i=1,bg="#DCDCDC", part = "header")
# Add lines
if(!is.null(colspan.value))
{
ft=hline(ft, i=1,border = fp_border(width = 2), part = "header" )
ft=hline(ft, i=2,j=(nb.col+1):(nb.col+n.stat),border = fp_border(width = 2), part = "header" )
ft=hline(ft, i=3,border = fp_border(width = 2), part = "header" )
}else
{
ft=hline(ft, border = fp_border(width = 2), part = "header" )
}
ft=hline_top(ft, border = fp_border(width = 2), part = "header" )
# ft=hline_bottom(ft, border = fp_border(width = 2), part = "body" )
ft=add_footer_row(ft,top=FALSE, values ="",colwidths=ncol(output))
ft=hline_bottom(ft, border = fp_border(width = 2), part = "footer")
if(is.null(table$at.row))
{
ft=vline(ft,j =1:nb.col,border = fp_border(width = 1),part = "body")
}
else
{
i=space_vline(output,table$at.row)
ft=vline(ft, i=i,j =1:nb.col,border = fp_border(width = 1),part = "body")
}
# merge first column in case there are repetitions
ft=merge_v(ft,j=1)
if(valign) ft=valign(ft, j = 1, valign = "top", part = "body")
# change font
ft=font(ft,fontname=font.name,part ="all")
ft=fontsize(ft,size=font.size,part ="all")
# change row height
ft=height_all(ft, height=0.1, part = "body")
ft=height_all(ft, height=0.3, part = "header")
ft=height_all(ft, height=0.1, part = "footer")
# add foot note for LS Means to indicates the type of
# response if it's a qualitative model
if(table$type.desc=="lsmeans")
{
if(table$type.mod=="quali")
{
ft <- add_footer_row(ft,top=FALSE, values =footnote,colwidths=ncol(output))
ft <- fontsize(ft, size = font.size-1, part = "footer")
ft <-height_all(ft, height=0.3, part = "footer")
}
}
# add to doc
if(!is.null(doc))
{
if(class(doc)!="rdocx") stop("doc must be a rdocx object")
doc <- body_add_par(doc,"", style = "Normal")
doc <- body_add_flextable(doc, value = ft)
if(page.break) doc=body_add_break(doc)
return(doc)
}else
{
return(ft)
}
}
#' @param type.anova Passed to \code{Anova} function from car package (see its documentation).
#' @param pretty.label Logical. Default to FALSE. If TRUE, use the function \code{make.label} with default option on the rownames of the anova table
#'
#' @importFrom xtable xtable
#' @rdname report.doc
#'
#' @export
report.doc.anova=function(table,title="Anova table",type.anova=3,doc=NULL,numbering=T,
init.numbering=F,font.name="Times",font.size=10,page.break=T,pretty.label=FALSE,...)
{
#Initialize the numbering if this function is launched for the first time
if(is.null(.output$number)) .output$number=1
#Re-initialize if init.numbering =T
if(init.numbering) .output$number=1
# Add output numbering to the title
if(numbering)
{
title= paste0("Table ",get("number",envir=.output),": ",c(title))
}
# Increase numbering by one
.output$number=.output$number+1
ncol=ncol(as.data.frame(table))
if(pretty.label)
{
rownames(table)=make.label(rownames(table))
}
xtab=xtable(table)
ft=xtable_to_flextable(xtab,NA.string = "-")
# add title line
ft <- add_header_row(ft, values =title,colwidths=(ncol+1))
# headers in bold and bg in grey for title
ft <- bold(ft, part = "header")
#ft <- bold(ft, j=1:nb.col,part = "body")
ft <- bg(ft,i=1,bg="#DCDCDC", part = "header")
# Add lines
ft=hline(ft, border = fp_border(width = 2), part = "header" )
ft=hline_top(ft, border = fp_border(width = 2), part = "header" )
# change font
ft=flextable::font(ft,fontname=font.name,part ="all")
ft=flextable::fontsize(ft,size=font.size,part ="all")
if(!is.null(doc))
{
if(class(doc)!="rdocx") stop("doc must be a rdocx object")
doc <- body_add_par(doc,"", style = "Normal")
doc <- body_add_flextable(doc, value = ft)
if(page.break) doc=body_add_break(doc)
return(doc)
}else
{
return(ft)
}
}
#' @importFrom xtable xtable
#' @rdname report.doc
#'
#' @export
report.doc.anova.lme=report.doc.anova
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