ajusting imports of dependicies

NAMESPACE

@@ -11,12 +11,19 @@ export(plot_olr)
 export(quantile_cut)
 export(source_lines)
 import(ggplot2)
-import(stats)
-import(tidyr)
 importFrom(MASS,polr)
-importFrom(dplyr,filter)
 importFrom(dplyr,mutate)
 importFrom(dplyr,select)
 importFrom(gtsummary,add_overall)
 importFrom(gtsummary,tbl_summary)
 importFrom(rankinPlot,grottaBar)
+importFrom(stats,as.formula)
+importFrom(stats,coef)
+importFrom(stats,confint)
+importFrom(stats,formula)
+importFrom(stats,lm)
+importFrom(stats,quantile)
+importFrom(stats,reorder)
+importFrom(tidyr,all_of)
+importFrom(tidyr,ends_with)
+importFrom(tidyr,pivot_longer)

R/ci_plot.R

@@ -17,6 +17,13 @@ utils::globalVariables(c("vname"))
 #'
 #' @import ggplot2
 #' @importFrom MASS polr
+#' @importFrom stats as.formula
+#' @importFrom stats coef
+#' @importFrom stats confint
+#' @importFrom stats formula
+#' @importFrom stats lm
+#' @importFrom stats quantile
+#' @importFrom stats reorder
 #'
 #' @examples
 #' data(talos)

R/index_plot.R

@@ -12,23 +12,26 @@ utils::globalVariables(c("name","value","facet"))
 #'
 #' @return ggplot element
 #' 
-#' @import ggplot2 tidyr
+#' @import ggplot2 
 #' @importFrom dplyr mutate
 #' @importFrom dplyr select
-#' @importFrom dplyr filter
+#' @importFrom tidyr pivot_longer
+#' @importFrom tidyr all_of
+#' @importFrom tidyr ends_with
 #' 
 #' @export
 #'
 #' @examples
-#' data(score)
+#' index_plot(score[score$event=="A",])
-#' index_plot(score |> dplyr::filter(event=="A"))
 index_plot <- function(ds,id="id",sub_plot="_is",scores=c("_is","_lo","_up","_per"),dom_names=c("immediate","visuospatial","verbal","attention","delayed","total"),facet.by=NULL){
 
+  if (length(facet.by)>1){stop("facet.by can be NULL or of length 1 only.")}
+  
   df_plot<-ds|>
     dplyr::select(c(id,
              facet.by,
-             ends_with(scores)))|>
+             tidyr::ends_with(scores)))|>
-    tidyr::pivot_longer(cols=-c(id,facet.by))|>
+    tidyr::pivot_longer(cols=-c(id,tidyr::all_of(facet.by)))|>
     subset(grepl(sub_plot,name))|>
     dplyr::mutate(value=as.numeric(value),
            name=factor(name,labels = dom_names))

R/plot_olr.R

@@ -16,9 +16,16 @@ utils::globalVariables(c("or","ord","lo","up"))
 #' @return gg object
 #' @keywords forest plot
 #' 
-#' @import ggplot2 stats
+#' @import ggplot2
 #' 
 #' @importFrom MASS polr
+#' @importFrom stats as.formula
+#' @importFrom stats coef
+#' @importFrom stats confint
+#' @importFrom stats formula
+#' @importFrom stats lm
+#' @importFrom stats quantile
+#' @importFrom stats reorder
 #' 
 #' @export
 #' 

man/index_plot.Rd

@@ -33,6 +33,5 @@ ggplot element
 Plot index scores from five dimensional cognitive testing. Includes option to facet.
 }
 \examples{
-data(score)
+index_plot(score[score$event=="A",])
-index_plot(score |> dplyr::filter(event=="A"))
 }