I am working with the R programming language.
I have the following data:
var1 = c(5,5,8,13,14,12,11,10,9,9,8,8)
var2 = c(13,13,22,30,35,31,25,24,20,20,20,21)
var1 <- ts(var1, start = 2010, frequency = 12)
var2 <- ts(var2, start = 2010, frequency = 12)
df = cbind(var1,var2)
var1 var2
Jan 2010 5 13
Feb 2010 5 13
Mar 2010 8 22
Apr 2010 13 30
May 2010 14 35
Jun 2010 12 31
Jul 2010 11 25
Aug 2010 10 24
Sep 2010 9 20
Oct 2010 9 20
Nov 2010 8 20
Dec 2010 8 21
I then made the following graph for this data:
library(dygraphs)
dygraph(df, main = "Stacked Graph") %>%
dySeries("var1", label = "Var1") %>%
dySeries("var2", label = "Var2") %>%
dyOptions(stackedGraph = TRUE) %>%
dyRangeSelector(height = 20)
My Question: When I look at the graph of this data, I see that the green values almost approach "50" – yet, the largest value is the entire dataset is only 35.
I am not interested in adding the two variables (var1,var2) together – I just want to plot their values using a stacked time series plot.
Can someone please show me how to fix this?
Thanks!
>Solution :
You can either omit the dyOptions()
call completely or
set the stackedGraph
argument in it to FALSE
.
A stacked plot means that the values of the serieses are
added/summed. By turning that feature of you get the plain
series values.
You can set the fillGraph
argument in dySeries()
to TRUE
, to
color the area under the line.
var1 = c(5,5,8,13,14,12,11,10,9,9,8,8)
var2 = c(13,13,22,30,35,31,25,24,20,20,20,21)
var1 <- ts(var1, start = 2010, frequency = 12)
var2 <- ts(var2, start = 2010, frequency = 12)
df = cbind(var1,var2)
library(dygraphs)
dygraph(df, main = "Graph") %>%
dySeries("var1", label = "Var1", fillGraph = TRUE) %>%
dySeries("var2", label = "Var2", fillGraph = TRUE) %>%
dyOptions(stackedGraph = FALSE) %>%
dyRangeSelector(height = 20)