Pie charts in R leaflet, turn count into sum and control more the size

I am fascinated by the solution of grouping markers and presenting counts by groups in form of small piecharts https://stackoverflow.com/a/60525137/3480717 I am R only and do not know JS. I would like the code to sum values from each data point and not count (each individual data point may represent already a count). And I would like to control more the size of the bubbles dependent on the value. Can you help me out and show how to change the js code so that it sums values from datapoints and how to perhaps increase/control the size of the bubbles?

The original code is by https://stackoverflow.com/users/2711712/danielbonnery @DanielBonnery

library(leaflet)
library(dplyr)
#Creates data
data("breweries91",package="leaflet")
#set.seed(1);
breweries91$goodbear<-sample(as.factor(c("terrific","marvelous","culparterretaping")),nrow(breweries91),replace=T)
#Colors
joliepalette<-c("red","green","blue")[1:nlevels(breweries91$goodbear)]
getColor <- function(breweries91) {joliepalette[breweries91$goodbear]}

icons <- awesomeIcons(
  icon = 'ios-close',
  iconColor = 'black',
  library = 'ion',
  markerColor = getColor(breweries91)
)

#Generate the javascript

jsscript3<-
  paste0(
"function(cluster) {
const groups= [",paste("'",levels(breweries91$goodbear),"'",sep="",collapse=","),"];
const colors= {
groups: [",paste("'",joliepalette,"'",sep="",collapse=","),"],
center:'#ddd',
text:'black'
};
const markers= cluster.getAllChildMarkers();

const proportions= groups.map(group => markers.filter(marker => marker.options.group === group).length / markers.length);
function sum(arr, first= 0, last) {
return arr.slice(first, last).reduce((total, curr) => total+curr, 0);
}
const cumulativeProportions= proportions.map((val, i, arr) => sum(arr, 0, i+1));
cumulativeProportions.unshift(0);

const width = 2*Math.sqrt(markers.length);
const radius= 15+width/2;

const arcs= cumulativeProportions.map((prop, i) => { return {
x   :  radius*Math.sin(2*Math.PI*prop),
y   : -radius*Math.cos(2*Math.PI*prop),
long: proportions[i-1] >.5 ? 1 : 0
}});
const paths= proportions.map((prop, i) => {
if (prop === 0) return '';
else if (prop === 1) return `<circle cx='0' cy='0' r='${radius}' fill='none' stroke='${colors.groups[i]}' stroke-width='${width}' stroke-alignment='center' stroke-linecap='butt' />`;
else return `<path d='M ${arcs[i].x} ${arcs[i].y} A ${radius} ${radius} 0 ${arcs[i+1].long} 1 ${arcs[i+1].x} ${arcs[i+1].y}' fill='none' stroke='${colors.groups[i]}' stroke-width='${width}' stroke-alignment='center' stroke-linecap='butt' />`
});

return new L.DivIcon({
html: `
<svg width='60' height='60' viewBox='-30 -30 60 60' style='width: 60px; height: 60px; position: relative; top: -24px; left: -24px;' >
<circle cx='0' cy='0' r='15' stroke='none' fill='${colors.center}' />
<text x='0' y='0' dominant-baseline='central' text-anchor='middle' fill='${colors.text}' font-size='15'>${markers.length}</text>
${paths.join('')}
</svg>
`,
className: 'marker-cluster'
});
}")

# Generates the map.
leaflet() %>%
  addTiles() %>%
  addAwesomeMarkers(data=breweries91,
                    group=~goodbear,
                    icon = icons,
                    clusterOptions = markerClusterOptions(
                      iconCreateFunction =
                        JS(jsscript3)))

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