diff --git a/DESCRIPTION b/DESCRIPTION
index 86599b2..aa6c988 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: modelStudio
 Title: Interactive Studio for Explanatory Model Analysis
-Version: 3.0.0.9000
+Version: 3.1.0
 Authors@R:
     c(person("Hubert", "Baniecki", role = c("aut", "cre"),
              email = "hbaniecki@gmail.com",
diff --git a/NEWS.md b/NEWS.md
index 4305d29..165e954 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,7 @@
-# modelStudio (development)
+# modelStudio 3.1.0
+* changed y-axis variable labels in `SV` to the same as in `BD`
 * added new parameter to `modelStudio()`: `max_features_fi = max_features`, which allows displaying a distinctive number of features in `FI` plot (other than in `BD` and `SV`)
+* added new options to `ms_options()`: `**_axis_title`, which allow changing plot-specific axis title (default varies)
 
 # modelStudio 3.0.0
 * **BREAKING CHANGES**: 
diff --git a/R/modelStudio.R b/R/modelStudio.R
index c82aa55..797bc07 100644
--- a/R/modelStudio.R
+++ b/R/modelStudio.R
@@ -350,9 +350,8 @@ modelStudio.explainer <- function(explainer,
         variable_splits_type=variable_splits_type),
       "ingredients::accumulated_dependence (categorical)", show_info, pb, N/30)
   }
-
-  fi_data <- prepare_feature_importance(fi, max_features_fi, options$show_boxplot,
-                                        attr(loss_function, "loss_name"), ...)
+  
+  fi_data <- prepare_feature_importance(fi, max_features_fi, options$show_boxplot, ...)
   pd_data <- prepare_partial_dependence(pd_n, pd_c, variables = variable_names)
   ad_data <- prepare_accumulated_dependence(ad_n, ad_c, variables = variable_names)
   mp_ret <- calculate(
@@ -495,6 +494,8 @@ modelStudio.explainer <- function(explainer,
   if (is.null(options$ms_title)) options$ms_title <- paste0("Interactive Studio for ", label, " Model")
   if (!is.null(options$ms_subtitle)) options$ms_margin_top <- options$ms_margin_top + 40
   if (is.null(options$margin_left)) options$margin_left <- max(105, 7*max(nchar(variable_names)))
+  if (is.null(options$fi_axis_title)) options$fi_axis_title <- 
+    ifelse(is.null(attr(loss_function, "loss_name")), "drop-out loss", attr(loss_function, "loss_name"))
   
   options <- c(list(time = time,
                     model_name = label,
diff --git a/R/ms_options.R b/R/ms_options.R
index 1644af5..9880f94 100644
--- a/R/ms_options.R
+++ b/R/ms_options.R
@@ -33,18 +33,19 @@
 #' \item{default_color}{\code{#371ea3} for Break Down bar and highlighted line.}
 #' }
 #' }
-#' \subsection{Plot specific options:}{
+#' \subsection{Plot-specific options:}{
 #' \code{**} is a two letter code unique to each plot, might be
 #' one of \code{[bd,sv,cp,fi,pd,ad,rv,fd,tv,at]}.\cr
 #'
 #' \describe{
-#' \item{**_title}{Plot specific title. Default varies.}
-#' \item{**_subtitle}{Plot specific subtitle. Default is \code{subtitle}.}
-#' \item{**_bar_width}{Plot specific width of bars. Default is \code{bar_width},
+#' \item{**_title}{Plot-specific title. Default varies.}
+#' \item{**_subtitle}{Plot-specific subtitle. Default is \code{subtitle}.}
+#' \item{**_axis_title}{Plot-specific axis title. Default varies.}
+#' \item{**_bar_width}{Plot-specific width of bars. Default is \code{bar_width},
 #' ignored when \code{scale_plot = TRUE}.}
-#' \item{**_line_size}{\code{line_size} Plot specific width of lines. Default is \code{line_size}.}
-#' \item{**_point_size}{Plot specific point radius. Default is \code{point_size}.}
-#' \item{**_*_color}{Plot specific \code{[bar,line,point]} color. Default is \code{[bar,line,point]_color}.}
+#' \item{**_line_size}{Plot-specific width of lines. Default is \code{line_size}.}
+#' \item{**_point_size}{Plot-specific point radius. Default is \code{point_size}.}
+#' \item{**_*_color}{Plot-specific \code{[bar,line,point]} color. Default is \code{[bar,line,point]_color}.}
 #' }
 #' }
 #'
@@ -131,18 +132,21 @@ ms_options <- function(...) {
     default_color = "#371ea3",
     bd_title = "Break Down",
     bd_subtitle = NULL,
+    bd_axis_title = "contribution",
     bd_bar_width = NULL,
     bd_positive_color = NULL,
     bd_negative_color = NULL,
     bd_default_color = NULL,
     sv_title = "Shapley Values",
     sv_subtitle = NULL,
+    sv_axis_title = "contribution",
     sv_bar_width = NULL,
     sv_positive_color = NULL,
     sv_negative_color = NULL,
     sv_default_color = NULL,
     cp_title = "Ceteris Paribus",
     cp_subtitle = NULL,
+    cp_axis_title = "prediction",
     cp_bar_width = NULL,
     cp_line_size = NULL,
     cp_point_size = 3,
@@ -151,34 +155,41 @@ ms_options <- function(...) {
     cp_point_color = "#371ea3",
     fi_title = "Feature Importance",
     fi_subtitle = NULL,
+    fi_axis_title = NULL,
     fi_bar_width = NULL,
     fi_bar_color = NULL,
     pd_title = "Partial Dependence",
     pd_subtitle = NULL,
+    pd_axis_title = "average prediction",
     pd_bar_width = NULL,
     pd_line_size = NULL,
     pd_bar_color = NULL,
     pd_line_color = NULL,
     ad_title = "Accumulated Dependence",
     ad_subtitle = NULL,
+    ad_axis_title = "accumulated prediction",
     ad_bar_width = NULL,
     ad_line_size = NULL,
     ad_bar_color = NULL,
     ad_line_color = NULL,
     rv_title = "Residuals vs Feature",
     rv_subtitle = NULL,
+    rv_axis_title = "residuals",
     rv_point_size = NULL,
     rv_point_color = NULL,
     fd_title = "Feature Distribution",
     fd_subtitle = NULL,
+    fd_axis_title = "count",
     fd_bar_width = NULL,
     fd_bar_color = NULL,
     tv_title = "Target vs Feature",
     tv_subtitle = NULL,
+    tv_axis_title = "target",
     tv_point_size = NULL,
     tv_point_color = NULL,
     at_title = "Average Target vs Feature",
     at_subtitle = NULL,
+    at_axis_title = "average target",
     at_bar_width = NULL,
     at_line_size = NULL,
     at_point_size = 3,
diff --git a/R/prepare.R b/R/prepare.R
index eb7da1b..1669f30 100644
--- a/R/prepare.R
+++ b/R/prepare.R
@@ -286,7 +286,6 @@ prepare_ceteris_paribus <- function(x, variables = NULL) {
 }
 
 prepare_feature_importance <- function(x, max_features = 10, show_boxplot = TRUE,
-                                       x_title = NULL,
                                        margin = 0.15, digits = 3, rounding_function = round,
                                        ...) {
   ### Return the object for the FeatureImportance plot ###
@@ -357,7 +356,6 @@ prepare_feature_importance <- function(x, max_features = 10, show_boxplot = TRUE
   ret$x <- new_x
   ret$m <- m
   ret$x_min_max <- min_max
-  ret$x_title <- ifelse(is.null(x_title), "drop-out loss", x_title)
   ret$desc <- data.frame(type = "desc",
                          text = gsub("\n","</br>", desc))
 
diff --git a/inst/d3js/generatePlots.js b/inst/d3js/generatePlots.js
index 580c767..20bbef3 100644
--- a/inst/d3js/generatePlots.js
+++ b/inst/d3js/generatePlots.js
@@ -137,7 +137,7 @@ function breakDown() {
                          (margin.top + bdPlotHeight + 45) + ")")
     .attr("class", "axisTitle")
     .attr("text-anchor", "middle")
-    .text("contribution");
+    .text(bdAxisTitle);
 
   var xAxis = d3.axisBottom(x)
                 .ticks(5)
@@ -375,7 +375,7 @@ function shapleyValues() {
                          (margin.top + svPlotHeight + 45) + ")")
     .attr("class", "axisTitle")
     .attr("text-anchor", "middle")
-    .text("contribution");
+    .text(svAxisTitle);
 
   var xAxis = d3.axisBottom(x)
                 .ticks(5)
@@ -390,7 +390,7 @@ function shapleyValues() {
   var y = d3.scaleBand()
             .rangeRound([margin.top - additionalHeight, margin.top + svPlotHeight])
             .padding(0.33)
-            .domain(bData.map(d => d.variable_name));
+            .domain(bData.map(d => d.variable));
 
   var xGrid = SV.append("g")
                 .attr("class", "grid")
@@ -464,7 +464,7 @@ function shapleyValues() {
       .attr("fill-opacity", d => x(d.barSupport) - x(d.barStart) < 1.5
                                  ? 0 : 1) //invisible bar for clicking purpose
       .attr("x", d => d.contribution > 0 ? x(d.barStart) : x(d.barSupport))
-      .attr("y", d => y(d.variable_name))
+      .attr("y", d => y(d.variable))
       .attr("height", y.bandwidth())
       .on('mouseover', tooltip.show)
       .on('mouseout', tooltip.hide)
@@ -492,7 +492,7 @@ function shapleyValues() {
           .attr("class", "axisLabel")
           .attr("x", d => d.contribution > 0
                           ? x(d.barStart) - 5 : x(d.barSupport) + 5)
-          .attr("y", d => y(d.variable_name) + y.bandwidth()/2)
+          .attr("y", d => y(d.variable) + y.bandwidth()/2)
           .attr("dy", "0.4em")
           .attr("text-anchor", d => d.sign == "1" ? "end" : "start")
           .transition()
@@ -509,15 +509,15 @@ function shapleyValues() {
   lines.append("line")
         .attr("class", "interceptLine")
         .attr("x1", d => d.contribution < 0 ? x(d.barSupport) : x(d.barStart))
-        .attr("y1", d => y(d.variable_name))
+        .attr("y1", d => y(d.variable))
         .attr("x2", d => d.contribution < 0 ? x(d.barSupport) : x(d.barStart))
-        .attr("y2", d => y(d.variable_name))
+        .attr("y2", d => y(d.variable))
         .transition()
         .duration(TIME)
         .delay((d,i) => (i+1) * TIME)
         .attr("y2", (d,i) => i == svBarCount - 1
-                             ? y(d.variable_name) + y.bandwidth()
-                             : y(d.variable_name) + y.bandwidth()*2.5);
+                             ? y(d.variable) + y.bandwidth()
+                             : y(d.variable) + y.bandwidth()*2.5);
 
 
   // boxplots
@@ -527,8 +527,8 @@ function shapleyValues() {
         .attr("class", "interceptLine")
         .attr("x1", d => d.contribution < 0 ? x(d.max) : x(d.min))
         .attr("x2", d => d.contribution < 0 ? x(d.max) : x(d.min))
-        .attr("y1", d => y(d.variable_name) + y.bandwidth()/2)
-        .attr("y2", d => y(d.variable_name) + y.bandwidth()/2)
+        .attr("y1", d => y(d.variable) + y.bandwidth()/2)
+        .attr("y2", d => y(d.variable) + y.bandwidth()/2)
         .transition()
         .duration(TIME)
         .delay((d,i) => i * TIME)
@@ -538,7 +538,7 @@ function shapleyValues() {
     // rectangle for the main box
     bars.append("rect")
         .attr("x", d => d.contribution < 0 ? x(d.q3) : x(d.q1))
-        .attr("y", d => y(d.variable_name) + y.bandwidth()/3)
+        .attr("y", d => y(d.variable) + y.bandwidth()/3)
         .attr("height", y.bandwidth()/3)
         .style("fill", "#371ea3")
         .transition()
@@ -550,8 +550,8 @@ function shapleyValues() {
     // // show the median
     // bars.append("line")
     //     .attr("class", "interceptLine")
-    //     .attr("y1", d => y(d.variable_name) + y.bandwidth()/3)
-    //     .attr("y2", d => y(d.variable_name) + 2*y.bandwidth()/3)
+    //     .attr("y1", d => y(d.variable) + y.bandwidth()/3)
+    //     .attr("y2", d => y(d.variable) + 2*y.bandwidth()/3)
     //     .attr("x1", d => x(d.median))
     //     .attr("x2", d => x(d.median))
     //     .style("stroke", "#ceced9")
@@ -626,7 +626,6 @@ function featureImportance() {
   var fiBarCount = fiData.m,
       bData = fiData.x,
       xMinMax = fiData.x_min_max,
-      xTitle = fiData.x_title,
       desc = fiData.desc;
 
   var fiPlotHeight = SCALE_PLOT ? h : fiBarCount*fiBarWidth + (fiBarCount+1)*fiBarWidth/2,
@@ -642,7 +641,7 @@ function featureImportance() {
                          (margin.top + fiPlotHeight + 45) + ")")
     .attr("class", "axisTitle")
     .attr("text-anchor", "middle")
-    .text(xTitle);
+    .text(fiAxisTitle);
 
   var xAxis = d3.axisBottom(x)
                 .ticks(5)
@@ -1165,7 +1164,7 @@ function cpNumericalPlot(variableName, lData, mData, yMinMax, pData, desc) {
     .attr("y", margin.left - margin.ytitle)
     .attr("x", -(margin.top + cpPlotHeight/2))
     .attr("text-anchor", "middle")
-    .text("prediction");
+    .text(cpAxisTitle);
 
   var description = CP.append("g")
                       .attr("transform", "translate(" +
@@ -1321,8 +1320,16 @@ function cpCategoricalPlot(variableName, bData, yMinMax, lData, desc) {
                          (margin.top + cpPlotHeight + 45) + ")")
     .attr("class", "axisTitle")
     .attr("text-anchor", "middle")
-    .text("prediction");
+    .text(cpAxisTitle);
 
+/*  CP.append("text")
+    .attr("class", "axisTitle")
+    .attr("y", margin.top - additionalHeight)
+    .attr("x", margin.small)
+    .attr("text-anchor", "start")
+    .attr("dominant-baseline", "hanging")
+    .text(variableName + " = " + lData[0][variableName]);*/
+    
   var description = CP.append("g")
                       .attr("transform", "translate(" +
                             (margin.left + cpPlotWidth - 4*margin.big - margin.small)
@@ -1496,7 +1503,7 @@ function pdNumericalPlot(variableName, lData, mData, yMinMax, yMean, desc) {
     .attr("y", margin.left - margin.ytitle)
     .attr("x", -(margin.top + pdPlotHeight/2))
     .attr("text-anchor", "middle")
-    .text("average prediction");
+    .text(pdAxisTitle);
 
   var description = PD.append("g")
                       .attr("transform", "translate(" +
@@ -1652,7 +1659,7 @@ function pdCategoricalPlot(variableName, bData, yMinMax, yMean, desc) {
                          (margin.top + pdPlotHeight + 45) + ")")
     .attr("class", "axisTitle")
     .attr("text-anchor", "middle")
-    .text("average prediction");
+    .text(pdAxisTitle);
 
   var description = PD.append("g")
                       .attr("transform", "translate(" +
@@ -1827,7 +1834,7 @@ function adNumericalPlot(variableName, lData, mData, yMinMax, yMean, desc) {
     .attr("y", margin.left - margin.ytitle)
     .attr("x", -(margin.top + adPlotHeight/2))
     .attr("text-anchor", "middle")
-    .text("accumulated prediction");
+    .text(adAxisTitle);
 
   // var description = AD.append("g")
   //                     .attr("transform", "translate(" +
@@ -1981,7 +1988,7 @@ function adCategoricalPlot(variableName, bData, yMinMax, yMean, desc) {
                          (margin.top + adPlotHeight + 45) + ")")
     .attr("class", "axisTitle")
     .attr("text-anchor", "middle")
-    .text("accumulated prediction");
+    .text(adAxisTitle);
 
   // var description = AD.append("g")
   //                     .attr("transform", "translate(" +
@@ -2063,7 +2070,7 @@ function rvNumericalPlot(variableName, xData, xMinMax, yMinMax) {
     .attr("y", margin.left - margin.ytitle)
     .attr("x", -(margin.top + rvPlotHeight/2))
     .attr("text-anchor", "middle")
-    .text("residuals");
+    .text(rvAxisTitle);
 
   var y = d3.scaleLinear()
             .range([margin.top + rvPlotHeight, margin.top - additionalHeight])
@@ -2239,7 +2246,7 @@ function rvCategoricalPlot(variableName, xData, xMinMax, yMinMax) {
                          (margin.top + rvPlotHeight + 45) + ")")
     .attr("class", "axisTitle")
     .attr("text-anchor", "middle")
-    .text("residuals");
+    .text(rvAxisTitle);
 }
 
 function fdNumericalPlot(variableName, dData, mData, nBin) {
@@ -2265,7 +2272,7 @@ function fdNumericalPlot(variableName, dData, mData, nBin) {
     .attr("y", margin.left - margin.ytitle)
     .attr("x", -(margin.top + fdPlotHeight/2))
     .attr("text-anchor", "middle")
-    .text("count");
+    .text(fdAxisTitle);
 
   var y = d3.scaleLinear()
         .range([margin.top + fdPlotHeight - 5, margin.top]);
@@ -2485,7 +2492,7 @@ function fdCategoricalPlot(variableName, dData, xMinMax, mData) {
                          (margin.top + fdPlotHeight + 45) + ")")
     .attr("class", "axisTitle")
     .attr("text-anchor", "middle")
-    .text("count");
+    .text(fdAxisTitle);
 }
 
 function tvNumericalPlot(variableName, xData, xMinMax, yMinMax) {
@@ -2536,7 +2543,7 @@ function tvNumericalPlot(variableName, xData, xMinMax, yMinMax) {
     .attr("y", margin.left - margin.ytitle)
     .attr("x", -(margin.top + tvPlotHeight/2))
     .attr("text-anchor", "middle")
-    .text("target");
+    .text(tvAxisTitle);
 
   if (IS_TARGET_BINARY) {
 
@@ -2711,7 +2718,7 @@ function tvCategoricalPlot(variableName, xData, xMinMax, yMinMax) {
   var xTitle;
 
   if (IS_TARGET_BINARY) {
-    xTitle = "average target"
+    xTitle = tvAxisTitle == "target" ? "average target" : tvAxisTitle;
 
     // find 5 nice ticks with max and min - do better than d3
     var tickValues = getTickValues(x.domain());
@@ -2763,7 +2770,7 @@ function tvCategoricalPlot(variableName, xData, xMinMax, yMinMax) {
       .attr("x2", x(0))
       .attr("y2", maximumY + y.bandwidth());
   } else {
-    xTitle = "target";
+    xTitle = tvAxisTitle;
 
     var xAxis = d3.axisBottom(x)
                   .ticks(5)
@@ -2932,7 +2939,7 @@ function atNumericalPlot(variableName, xData, xMinMax, yMinMax, yMean) {
     .attr("y", margin.left - margin.ytitle)
     .attr("x", -(margin.top + atPlotHeight/2))
     .attr("text-anchor", "middle")
-    .text("average target");
+    .text(atAxisTitle);
 
   AT.append("line")
     .attr("class", "interceptLine")
@@ -3054,7 +3061,7 @@ function atCategoricalPlot(variableName, xData, xMinMax, yMinMax, yMean) {
                          (margin.top + atPlotHeight + 45) + ")")
     .attr("class", "axisTitle")
     .attr("text-anchor", "middle")
-    .text("average target");
+    .text(atAxisTitle);
 
   var bars = AT.selectAll()
                .data(xData)
diff --git a/inst/d3js/modelStudio.js b/inst/d3js/modelStudio.js
index ed284c1..f9bf3f4 100644
--- a/inst/d3js/modelStudio.js
+++ b/inst/d3js/modelStudio.js
@@ -46,17 +46,20 @@ var TIME = options.time,
     defaultColor = options.default_color,
     bdTitle = options.bd_title,
     bdSubtitle = options.bd_subtitle || subTitle,
+    bdAxisTitle = options.bd_axis_title,
     bdBarWidth = options.bd_bar_width || barWidth,
     bdPositiveColor = options.bd_positive_color || positiveColor,
     bdNegativeColor = options.bd_negative_color || negativeColor,
     bdDefaultColor = options.bd_default_color || defaultColor,
     svTitle = options.sv_title,
     svSubtitle = options.sv_subtitle || subTitle,
+    svAxisTitle = options.sv_axis_title,
     svBarWidth = options.sv_bar_width || barWidth,
     svPositiveColor = options.sv_positive_color || positiveColor,
     svNegativeColor = options.sv_negative_color || negativeColor,
     cpTitle = options.cp_title,
     cpSubtitle = options.cp_subtitle || subTitle,
+    cpAxisTitle = options.cp_axis_title,
     cpBarWidth = options.cp_bar_width || barWidth,
     cpLineSize = options.cp_line_size || lineSize,
     cpPointSize = options.cp_point_size || pointSize,
@@ -65,34 +68,41 @@ var TIME = options.time,
     cpPointColor = options.cp_point_color || pointColor,
     fiTitle = options.fi_title,
     fiSubtitle = options.fi_subtitle || subTitle,
+    fiAxisTitle = options.fi_axis_title,
     fiBarWidth = options.fi_bar_width || barWidth,
     fiBarColor = options.fi_bar_color || barColor,
     pdTitle = options.pd_title,
     pdSubtitle = options.pd_subtitle || subTitle,
+    pdAxisTitle = options.pd_axis_title,
     pdBarWidth = options.pd_bar_width || barWidth,
     pdLineSize = options.pd_line_size || lineSize,
     pdBarColor = options.pd_bar_color || barColor,
     pdLineColor = options.pd_line_color || lineColor,
     adTitle = options.ad_title,
     adSubtitle = options.ad_subtitle || subTitle,
+    adAxisTitle = options.ad_axis_title,
     adBarWidth = options.ad_bar_width || barWidth,
     adLineSize = options.ad_line_size || lineSize,
     adBarColor = options.ad_bar_color || barColor,
     adLineColor = options.ad_line_color || lineColor,
     rvTitle = options.rv_title,
     rvSubtitle = options.rv_subtitle || subTitle,
+    rvAxisTitle = options.rv_axis_title,
     rvPointSize = options.rv_point_size || pointSize,
     rvPointColor = options.tv_point_color || pointColor,
     fdTitle = options.fd_title,
     fdSubtitle = options.fd_subtitle || subTitle,
+    fdAxisTitle = options.fd_axis_title,
     fdBarWidth = options.fd_bar_width || barWidth,
     fdBarColor = options.fd_bar_color || barColor,
     tvTitle = options.tv_title,
     tvSubtitle = options.tv_subtitle || subTitle,
+    tvAxisTitle = options.tv_axis_title,
     tvPointSize = options.tv_point_size || pointSize,
     tvPointColor = options.tv_point_color || pointColor,
     atTitle = options.at_title,
     atSubtitle = options.at_subtitle || subTitle,
+    atAxisTitle = options.at_axis_title,
     atBarWidth = options.at_bar_width || barWidth,
     atLineSize = options.at_line_size || lineSize,
     atPointSize = options.at_point_size || pointSize,
diff --git a/man/ms_options.Rd b/man/ms_options.Rd
index c443af4..ccc1252 100644
--- a/man/ms_options.Rd
+++ b/man/ms_options.Rd
@@ -42,18 +42,19 @@ ignored when \code{scale_plot = TRUE}.}
 \item{default_color}{\code{#371ea3} for Break Down bar and highlighted line.}
 }
 }
-\subsection{Plot specific options:}{
+\subsection{Plot-specific options:}{
 \code{**} is a two letter code unique to each plot, might be
 one of \code{[bd,sv,cp,fi,pd,ad,rv,fd,tv,at]}.\cr
 
 \describe{
-\item{**_title}{Plot specific title. Default varies.}
-\item{**_subtitle}{Plot specific subtitle. Default is \code{subtitle}.}
-\item{**_bar_width}{Plot specific width of bars. Default is \code{bar_width},
+\item{**_title}{Plot-specific title. Default varies.}
+\item{**_subtitle}{Plot-specific subtitle. Default is \code{subtitle}.}
+\item{**_axis_title}{Plot-specific axis title. Default varies.}
+\item{**_bar_width}{Plot-specific width of bars. Default is \code{bar_width},
 ignored when \code{scale_plot = TRUE}.}
-\item{**_line_size}{\code{line_size} Plot specific width of lines. Default is \code{line_size}.}
-\item{**_point_size}{Plot specific point radius. Default is \code{point_size}.}
-\item{**_*_color}{Plot specific \code{[bar,line,point]} color. Default is \code{[bar,line,point]_color}.}
+\item{**_line_size}{Plot-specific width of lines. Default is \code{line_size}.}
+\item{**_point_size}{Plot-specific point radius. Default is \code{point_size}.}
+\item{**_*_color}{Plot-specific \code{[bar,line,point]} color. Default is \code{[bar,line,point]_color}.}
 }
 }
 }
diff --git a/man/ms_update_options.Rd b/man/ms_update_options.Rd
index 473373c..372823b 100644
--- a/man/ms_update_options.Rd
+++ b/man/ms_update_options.Rd
@@ -43,18 +43,19 @@ ignored when \code{scale_plot = TRUE}.}
 \item{default_color}{\code{#371ea3} for Break Down bar and highlighted line.}
 }
 }
-\subsection{Plot specific options:}{
+\subsection{Plot-specific options:}{
 \code{**} is a two letter code unique to each plot, might be
 one of \code{[bd,sv,cp,fi,pd,ad,rv,fd,tv,at]}.\cr
 
 \describe{
-\item{**_title}{Plot specific title. Default varies.}
-\item{**_subtitle}{Plot specific subtitle. Default is \code{subtitle}.}
-\item{**_bar_width}{Plot specific width of bars. Default is \code{bar_width},
+\item{**_title}{Plot-specific title. Default varies.}
+\item{**_subtitle}{Plot-specific subtitle. Default is \code{subtitle}.}
+\item{**_axis_title}{Plot-specific axis title. Default varies.}
+\item{**_bar_width}{Plot-specific width of bars. Default is \code{bar_width},
 ignored when \code{scale_plot = TRUE}.}
-\item{**_line_size}{\code{line_size} Plot specific width of lines. Default is \code{line_size}.}
-\item{**_point_size}{Plot specific point radius. Default is \code{point_size}.}
-\item{**_*_color}{Plot specific \code{[bar,line,point]} color. Default is \code{[bar,line,point]_color}.}
+\item{**_line_size}{Plot-specific width of lines. Default is \code{line_size}.}
+\item{**_point_size}{Plot-specific point radius. Default is \code{point_size}.}
+\item{**_*_color}{Plot-specific \code{[bar,line,point]} color. Default is \code{[bar,line,point]_color}.}
 }
 }
 }