I'm trying to put a legend on a line graph using legend(x,y, legend=c("","").... etc. I've changed the date to numeric data and used that for x and it plots, so I know the rest of its right. but when x is a date I'm not sure what to use for x to get the legend to show on the graph.
thanks
Related
I have a dataset like revenue and date.
I used arima to plot the data.
ts_data = ts(dataset$Revenue,frequency = 7)
arima.ts = auto.arima(ts_data)
pred = forecast(arima.ts,h=30)
plot(pred,xaxt="n")
When I plot the data, it produces plot like below.
My expectations are below,
I need to display values in Million for predicted values like 13.1M.
I need to show x-axis as date instead of data points numbers.
I tried several links but couldn't crack it. Below are the experiments I made,
Tried with start date and end date in ts_data that also doesnt work.My start date is "2019-09-27" and end date is "2020-07-02"
tried wit axis_date in plot function that also doesnt work.
Please help me to crack the same.
Thanks a lot.
You can specify axis tick values and labels with axis()
plot(pred,xaxt="n", yaxt="n") # deactivate x and y axis
yl<-seq(-5000000,15000000,by=5000000) # position of y-axis ticks
axis(2, at=yl, label=paste(yl/1000000, "M")) # 2 = left axis
You can specify the desired position of y axis ticks with at and the labels to be associated with label. In order to obtain the values like 10 M I have used the function paste to join the numbers with the letter M.
You could use the same method also for x-axis, even tough more efficient methods probably exist. Not having the specific data available I have used a generic spacing and labels only to give you the idea. Once you have set the desired position you can generate the sequence of dates associated with it (to generate a sequence of dates see https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/seq.Date)
axis(1, at=seq(1,40,by=1), label=seq(as.Date("2019-09-27"),as.Date("2020-07-02"),by="week")) # 1 = below axis
You can also change the format of the dates displayed with format() for example label=format(vector_of_date, "%Y-%b-%d") to have year-month(in letter)-day.
I'm trying to make a plot in R. My x-axis is a week number converted to factor and my y-axis is an amount.
When I run plot() instead of dots I get horizontal lines.
Why does this happen?
Here is a sample dataset:
df <- data.frame(fin_week=as.factor(seq(1,20, by =1)), amount=(rnorm(20)^2)*100)
plot(df)
Looking at the documentation, it's because the first column is a factor. When R tries to find the right plot() to run, it looks into plot.dataframe, where it plots on the type of 1st column i.e a factor. Hence it plots using plot.factor(), which gives a line by default, which is used for box plots.
try using plot.default(df) to plot and you should get it the scatter plot
I am trying to plot several histograms for the same data set, but with different numbers of bins. I am using Gadfly.
Suppose x is just an array of real values, plotting each histogram works:
plot(x=x, Geom.histogram(bincount=10))
plot(x=x, Geom.histogram(bincount=20))
But I'm trying to put all the histograms together. I've added the number of bins as another dimension to my data set:
x2 = vcat(hcat(10*ones(length(x)), x), hcat(20*ones(length(x)), x)
df = DataFrame(Bins=x2[:,1], X=x2[:,2])
Is there any way to send the number of bins (the value from the first column) to Geom.histogram when using Geom.subplot_grid? Something like this:
plot(df, x="X", ygroup="Bins", Geom.subplot_grid(Geom.histogram(?)))
I think you would be better off not using subplot grid at that point, and instead just combine them with vstack or hstack. From the docs
Plots can also be stacked horizontally with ``hstack`` or vertically with
``vstack``. This allows more customization in regards to tick marks, axis
labeling, and other plot details than is available with ``subplot_grid``.
I am trying to do a scatter plot of 2 time series data - the data is stored in a data frame. The background of the image is quite grainy and axis labels are not visible when I do:
ggplot(data=dat,aes(x,y))+geom_point()
With below, I get only dark vertical lines:
plot(dat$x,dat$y)
plot() and ggplot() did work after applying as.numeric() to the data(as below) but the axis labels are indices[1,2,...] and not the range of actual values.
plot(as.numeric(dat$x),as.numeric(dat$y))
ggplot(data=dat,aes(as.numeric(x),as.numeric(y)))+geom_point()
I cannot post the images here as I am new to this forum.
By default, the data was getting converted into factor while converting from matrix to data.frame. Below code fixed it.
data.frame(mydata,stringsAsFactors = FALSE)
I'd like to plot a bar graph showing frequency of a string in ggplot. The input file (t1. txt) looks like:
do 4
re 2
mi 5
and my current r script is:
library("ggplot2")
t1<-read.table("t1.txt",header=FALSE,sep='\t')
ggplot(t1,aes(V1))+geom_bar()
However this isn't what I'd like - it has a correct x axis, but the y axis should show the variable from the second column (V2). Can anyone help? Thanks.
All you need to do is put the actual V2 in the command then. The default first two items to aes are x and y. You've only given x.
ggplot(t1,aes(V1,V2))+geom_bar()