similar to: Split charts with ggplot2, tidyquant

Hi Charlie, Thanks. This is helpful. As mentioned in my original question, I want to be able to plot a few such charts on the same page, say a 2 x 2 grid with such a chart for each of 4 different stocks. Using your solution I accomplished this by making a list pLst of your ggplots and then calling cowplot::plot_grid( plotlist=pLst, nrow=2, ncol=2 ) That worked fine. The one issue I have is that

Thanks for the reminder about lattice! I did some searching and there's a good example of manipulating the size of subplots using the `position` argument (see pp. 202-203 in the Trellis Users Guide: http://ml.stat.purdue.edu/stat695t/writings/Trellis.User.pdf). This is not within the paneling environment with the headers like in other trellis plots though, so you'll have to do a bit

That (the need for base graphics) is false. It certainly **can** be done in base graphics -- see ?layout for a perhaps more straightforward way to do it along the lines you suggest. However both lattice and ggplot are based on grid graphics, which has a similar but slightly more flexible ?grid.layout function which would allow one to size and place subsequent ggplot or lattice graphs in an

For this kind of control you will probably need to move to base graphics and utilize the `fig` argument in par(), in which case you would want to run the plot() command twice: once with your first outcome and once with your second, changing the par() settings before each one to control the size. On 01/19/2018 01:39 PM, Eric Berger wrote: > Hi Charlie, > Thanks. This is helpful. As

So the general strategy for getting these into separate panels in ggplot is to have a single variable that will be your response and a factor variable that indexes which original variable it came from. This can be accomplished in many ways, but the way I use is with the melt() function in the reshape2 package. For example, library(reshape2) plotDF <- melt(SPYdf, ??? ??? ??? ??? ??? ???

Hi Charlie, I am comfortable to put the data in any way that works best. Here are two possibilities: an xts and a data frame. library(quantmod) quantmod::getSymbols("SPY") # creates xts variable SPY SPYxts <- SPY[,c("SPY.Close","SPY.Volume")] SPYdf <- data.frame(Date=index(SPYxts),close=as.numeric(SPYxts$SPY.Close),

Could you provide some information on your data structure (e.g., are the two time series in separate columns in the data)? The solution is fairly straightforward once you have the data in the right structure. And I do not think tidyquant is necessary for what you want. Best, Charlie -- Charles Redmon GRA, Center for Research Methods and Data Analysis PhD Student, Department of Linguistics

I was able to reproduce the problem with this self-contained example. Maybe it could be reproduced with an even smaller one ... library(tidyquant) # Loads tidyverse, tidyquant, financial pkgs, xts/zoo library(xts) dtV <- as.Date("2017-01-01") + 1:100 locL <- list( foo=xts(rnorm(100), order.by=dtV), bar=xts(rnorm(100), order.by=dtV) ) fullXts <- do.call(merge,locL) smallXts

Have you read the books by Cleveland? His experiments show that most people do better estimating things and comparing things on a linear scale rather than looking at angles and areas (also see http://biostat.mc.vanderbilt.edu/twiki/pub/Main/StatGraphCourse/graphsco urse.pdf) With a dot chart you can set the axis to go from 0 to the total of all groups (see the example I sent before, it could

Hi R Helpers, I recently tried to take advantage of the ability to download all the tickers in the S&P 500 using the functionality of tidyquant, but it threw an error. For summary, the set of commands that I ran was library(tidyquant) tq_index_options() tq_index("SP500") sessionInfo() R feedback including error message and sessionInfo are provided below. Guidance would be

I have posted some charts for this week, showing critical support and resistance areas, and possible trade setups.. These are for stocks MO, TTEK, IBM, MERQ.. I may post some more before the weekend is over. Check back in future, look for updates as these charts develop. To see the charts, log in here: <http://www.fibmarkets.com/cgi-local/yabb/YaBB.pl> and then click on the "Traders

I have the following code and data data.csv "","Goal","Frequency","Weight","Group" "1","Move",13,0.245283018867925,"Public" "2","Create",10,0.188679245283019,"Public" "3","Strengthen",30,0.566037735849057,"Public"

Hi - I am creating bar and stacked bar charts in Gruff, but the problem I am having is that zero data is showing up as a thin bar. (It also seems to be that way in examples I have seen online where a zero value still shows as a thin bar or slice) It''s not a major issue to see a thin sliver on a plain bar chart, but on my stacked bar chart if I have more than one zero value in a

I would like to be able to shade between two lines using ggplot2 (with faceting too). But, despite reading all the documentation on the website, cant figure out how to do it (either because i am a novice or idiot - or, of course, possibly both) My data looks is readership of paid & free newspapers in london by age since 1994. The structure is reading.melt <- structure(list(Date =

Hi all, I am using SPC techniques of plotting Xbar, R, S, P and C charts in R.For this I am using qcc package in R and also using the following document for reference. http://www.stat.unipg.it/~luca/Rnews_2004-1-pag11-17.pdf But while plotting S chart, R chartchart and also C chart I am getting following errors. I have plotted the Xbar chart successfully using following command obj <-

Hi, I've run into a difficulty with qplot function (in the ggplot2 package). I can facet histograms even when the faceting variable contains missing values, but only so long as the faceting variable is not a factor. Example: y1 <- rnorm(10) x1 <- c(rep(1,5), rep(2,4), NA) x2 <- factor(c(rep(1,5), rep(2,4), NA)) library(ggplot2) qplot(y1, geom = "histogram", facets =

I have found lots of good advice on this forum about stacked area charts but I?ve run into problems with the 2 recommended options: stackploy in plotrix or qplot in ggplot2. I have a many page report that will be in a 2x2 page format ?par(mfrow=c(2,2))?? and need one of the page components to be a stacked chart. I?d prefer to use stackpoly, if possible, but I?m stuck on how to do the legend in

I'm looking for a way to create bar charts with nested groups levels. I have data that is seperated to this factors: 1. Day part - day/night. 2. Season - summer/winter. 3. habitat - Cover/Open I have created in Excel the following chart which I would like to create in R: http://www.nabble.com/file/p22180918/chart.jpg I have seen this nice post:

Hi all, with PowerPoint and ThinkCell one can draw something they call waterfall chart and it looks like this: http://www.think-cell.com/products/images/waterfall.gif I found discussions on waterfall charts in the archive of this mailinglist, but unfortunately they looked totally different. Other names for this type of plot seem to be bridge chart, cascade chart, stair case chart, etc. but

I would like to add error bars to a bar chart, I have created in R. I am able to add error bars to a bar plot, but the same method does not seem to work for my bar chart version.   Is there a way to add error bars to bar charts? ________________________________________________________ Audi, Fiat, Peugeot, Skoda, Porsche, Toyota, Ford - Kelkoo har brugte biler til en hver smag! Klik her