legend-properties

I am trying to create a US map filled with heat level of flu diseases. I am having 2 issues: I couldn't change the variable text in the legend. The order of the legend is wrong. 1->10->2->... Here is the code. library(maps) library(ggplot2) # Get all states data all_states <- map_data("state") # Clean the data subHeat <- subset(q4_heatMap, WEEK=="4") region <- tolower(subHeat$STATENAME) stateHeat <- subHeat$ACTIVITY.LEVEL stateHeat <- gsub('Level ', '', stateHeat) usHeat <- data.frame(region,stateHeat) # Merge two set of dataframes heatTotal <- merge(all_states, usHeat,by="region") # heatColor

I'm trying to get AmChart chart legends into one line, but without luck. Legends are separated (one for line). Actual settings for from documentation http://docs.amcharts.com/3/javascriptcharts/AmLegend is following. "legend": { "equalWidths": false, //"periodValueText": "total: [[value.sum]]", "position": "bottom", "valueAlign": "left", "labelWidth": 100, "valueWidth": 200, //"width": 100, "align": "center" }, I Would like to ask how to get all chart legends into one line? Many Thanks for any advice. you can try legend{ "maxColumns": 1, } I think it auto resize follows width of div. Btw, You

Using the data below, notice the legend does not properly describe geom_hline: df<-data.frame( points=c(.153,.144,.126,.035, .037, .039, .010,.015,.07), days=gl(3,1,9,labels=c("Sun","Mon","Tues")), lang=c("en","en","en","pt","pt","pt","ko","ko","ko")) ggplot(data=df[df$lang=="en",])+ geom_point(aes(x=days,y=points),size=5,colour='cyan',show_guide=F)+ geom_point(aes(x=days,y=points,colour=days),size=4,show_guide=F)+ facet_wrap(~lang,ncol=1,scales="free")+ xlab("")+ ylab("")+ scale_y_continuous(labels = percent_format())+ theme(legend.position="right", legend.title = element_blank(), strip.text

I am trying to add a legend to my plot and I don't understand why I can't control for its size and/or location. I know there is a lot of posts about it but I already tried to reproduce the solutions and for whatever reason it does not seem to work in my RStudio. Here is what I tried: How to scale legend box or enlarge font size in the legend box in R And here is how my plot looks like when I run the exact same code (you can see the legend is in the middle of the plot): my plot-1 I also tried to run some of the sample codes provided in R I also get weired looking plots. For instance, my plot

Is there a way for me to get a grand total at the end of my value column in my legend? Here is the code for my legend right here as well as the fiddle wtih it broken into two columns for the name and value of the data[] set. legend: { enabled: true, layout: 'vertical', align: 'right', width: 220, verticalAlign: 'top', borderWidth: 0, useHTML: true, labelFormatter: function() { return '<div style="width:200px"><span style="float:left">' + this.name + '</span><span style="float:right">' + this.y + '%</span></div>'; }, title: { text: 'Primary', style: { fontWeight: 'bold' } } } id like the column

I want to plot a bunch of rasters and I created a code to adjust breaks for each one and plot them trough a for loop. But i'm getting a problematic color scale bar, and my efforts haven't being effective to solve that. Example: I have precipitation ranging from 0 to 11.000...but most part of the data is between 0 and 5.000... and very few up to 11.000. So I need to change the breaks to capture this variation... more breaks where I have more data. Then I created a breaks object for that. But when I plot the raster, the scale color bar gets awful, very messy... #get predictors (These are a way

Problem I am migrating a number of ggplot / ggvis plots to plotly in a shiny application. There is an issue I've encountered regarding the linking of traces. I want to be able to show/hide traces by group on the legend, which is shared between related data frames. Minimal working example # load libraries library(dplyr) library(plotly) library(viridis) # contrived data to represent actual data points df1 <- data.frame(x = rnorm(100), y = rnorm(100), group = rep(c("G1", "G2", "G3", "G4"), 25)) # contrived data to represent theoretical relationship df2 <- data.frame(x = c(rep(-2, 4), rep(2, 4)),

I've got a data frame that looks like this: glimpse(spottingIntensityByMonth) # Observations: 27 # Variables: 3 # $ yearMonth <dttm> 2015-05-01, 2015-06-01, 2015-07-01, 2015-08-01, 2015-09-01, 2015-10-01, 2... # $ nClassificationsPerDayPerSpotter <dbl> 3.322581, 13.212500, 13.621701, 6.194700, 18.127778, 12.539589, 8.659722, ... # $ nSpotters <int> 8, 8, 22, 28, 24, 22, 24, 27, 25, 29, 32, 32, 21, 14, 18, 13, 20, 19, 15, ... I am trying to plot it with ggplot2 like so: ggplot() + geom_col(data = spottingIntensityByMonth, mapping = aes(x = yearMonth, y = nClassificationsPerDayPerSpotter) ) +