How to add numbers on top of ChartSeries() bars using r - r

What I am basically trying to do is to put s$cluster numbers on top of each bar
library("quantmod")
# xts object
s <-
structure(c(1300, 1301.349976, 1281.199951, 1316.900024, 1312.310059,
1278, 1304.439941, 1304.709961, 1313.900024, 1323.089966, 1314.98999,
1301.719971, 1291.630005, 1271.01001, 1281.199951, 1311.040039,
1288.329956, 1273, 1301.189941, 1287.030029, 1307.890015, 1317.030029,
1288.959961, 1299.699951, 372300, 453800, 347600, 376400, 488200,
567300, 1301.189941, 1287.030029, 1307.890015, 1317.030029, 1288.959961,
1299.699951, 0.0034153392307692, 0.00258192266643587, 0.0255230051909361,
0.00470038870619693, 0.00204214772387123, 0.0185602276995305,
-0.00643845769230766, -0.0233142248891853, 0, -0.0044498328599013,
-0.0182731991083518, -0.00391236306729259, 0.000915339230769252,
-0.0110039169048249, 0.02083208321946, 9.87204781157658e-05,
-0.0177931258240853, 0.016979617370892, 4, 3, 1, 4, 3, 1), .indexCLASS = "Date", .indexTZ = "UTC", tclass = "Date", tzone = "UTC", src = "yahoo", updated = structure(1459599733.74441, class = c("POSIXct",
"POSIXt")), class = c("xts", "zoo"), index = structure(c(1458777600,
1459123200, 1459209600, 1459296000, 1459382400, 1459468800), tzone = "UTC", tclass = "Date"), .Dim = c(6L,
10L), .Dimnames = list(NULL, c("PCLN.Open", "PCLN.High", "PCLN.Low",
"PCLN.Close", "PCLN.Volume", "PCLN.Adjusted", "h", "l", "c",
"cluster")))
I have tried the following:
# plot
chart_Series(s)
# add text on top of each bar:
text(x = s, y = s$cluster, label = as.character(s$cluster))
I have tried searching online but cannot seem to find the answer for chartSeries() plots. thanks in advance


In the text call, x is supposed to be a numeric vector of the x-coordinates of the location of the text you want to plot, but you provide a xts/matrix. I'd guess that the text call uses the first 6 observations of the first column, since that's how many observations are in your drawn chart. The first 6 values are between 1278 and 1317, which are >> 6, so they don't appear on your drawn plot.
Similarly, y is supposed to be the y-coordinates of the location of the text you want to plot. You provide a vector with a range between 1 and 4, while the y values on the data you plot are in the 1250-1350 range, so your text coordinates are off the drawn plot.
The x-coordinates should just be 1:nrow(s) and the y-coordinates should be something close to Lo(s) and Hi(s) for each observation. For example:
text(x = seq(nrow(s)), y = Hi(s)+1, label = as.character(s$cluster))

Related

Legend for plot.zoo

The code below uses plot.zoo function to plot two variables (in xts format) on the same panel with different colors. I need to generate a legend for variables, showing variable name and associated color (to distinguish one from the other). I could not find any examples. How can this be achieved?
library(xts)
XTS1 <- structure(c(0.228369333217119, 0.228289904084397, 0.228447230658951, 0.228791576808238, 0.230747528582736, 0.231930951391005, 0.23218095279688, 0.232655671733178, 0.232780332790686, 0.232737419368931, 0.232662430253128, 0.232742568778743, 0.233149068581523, 0.233801848401534, 0.233772492034511, 0.234624948258082, 0.23483556890299, 0.234796321794256, 0.23604671397228, 0.236133475815726, 0.236165665606426, 0.236028593613328, 0.23653404809854, 0.236405363926972, 0.236289501951192, 0.23595748354442, 0.235856148573546, 0.236430492268466, 0.236509873541663, 0.236320952959145, 0.236324663117125, 0.236230849130264, 0.236256142711785, 0.236443262637705, 0.236474635240435, 0.236478152698594, 0.236446010557742, 0.236433585738065, 0.236318823709326, 0.236343709733496, 0.236353484497234, 0.236293047785645, 0.236299398621113, 0.23632602130195, 0.236415592036867, 0.23644183016732, 0.236410860513062, 0.236407738860613, 0.236488620207848, 0.236521885178186, 0.236524525976254, 0.236543261190294, 0.236545852954505, 0.236554043549182, 0.236558510962661, 0.236500857781485, 0.236456811183667, 0.236429475415132, 0.23640238691203, 0.236406136067832, 0.236417470442709, 0.236338677460503, 0.236460106937516, 0.236499259900878, 0.236586474063617, 0.236543271644404, 0.236513672740977, 0.236369639034221, 0.236362697687712, 0.236797843111073, 0.237345016578261, 0.23783668813706, 0.237923216897962, 0.238248672738757, 0.23827277432708, 0.238353796658431, 0.238432929684165, 0.238426329912625, 0.238345183139418, 0.238458037645863, 0.238479196815153, 0.238658887053061, 0.238465939669501, 0.238523649852224, 0.238510811967291, 0.238618072611544, 0.238704138338676, 0.238707447338575, 0.23996516914318, 0.239424589962875, 0.239561518553478, 0.239421256904757, 0.239816852104079, 0.239445276547969, 0.239609107802299, 0.240012364436436, 0.24002458654273, 0.240130590848021, 0.239736081751086, 0.239857898122929, 0.249230991607954, 0.239805445609213, 0.220333558462471, 0.210410600760776, 0.210378078591145, 0.240399004222477, 0.239804814201628, 0.240033060931268, 0.240089397482534, 0.240197041264942, 0.239940687229403, 0.239983219836939, 0.240022917769706, 0.240337756345468, 0.240638638953238, 0.240145924499555, 0.240402820873626, 0.240634154733532, 0.240611140050359, 0.240534865617682, 0.240951950137048, 0.241127845406939, 0.241125700147753, 0.241126235785769, 0.24107570794763, 0.241088551839332, 0.241092988182315, 0.241086472173767, 0.241083390403282, 0.241091888348645, 0.241083158087253, 0.241064751836135, 0.241064210485496, 0.241091022867438, 0.240953810187424, 0.240481188224338, 0.240621074487305, 0.240541023392083, 0.240396295416436, 0.240434646218793, 0.240610526667198, 0.240808207542551, 0.240631718256586, 0.24064699063015, 0.24068954416015, 0.240711128194114, 0.240723728654195, 0.240775499747258, 0.24076580240029, 0.240772143433637, 0.240793451595961, 0.240796153528682, 0.240819395590463, 0.240807928484687, 0.241070198676456, 0.241015031342511, 0.240992277437459, 0.241067975400449, 0.241065024303712, 0.241163875314065, 0.241210015023487, 0.24111104460957, 0.241143389170502, 0.241126406233165, 0.241236385470386, 0.241216017627354, 0.241242224901225, 0.241204855537627, 0.241161113202215, 0.241188009018793, 0.241155655393916, 0.241104796660299, 0.241229168370518, 0.241187912977691, 0.241205571324508, 0.241275488693839, 0.241201890756208, 0.241062150030789, 0.241056667454678, 0.241020382598737, 0.241011174472952, 0.241075153997628, 0.240860609085096, 0.241671867834864, 0.242222875244792, 0.242105277990476, 0.242789197437053, 0.24262651942461, 0.242835209836078, 0.242065722773181, 0.242128191776504, 0.241866750527435, 0.242222755781399, 0.242405920724485, 0.242704642796114, 0.243681731065406, 0.243823985845211, 0.244075416453679, 0.244168166839201), .indexCLASS = c("POSIXct", "POSIXt"), .indexTZ = "", tclass = c("POSIXct", "POSIXt"), tzone = "", class = c("xts", "zoo"), .CLASS = structure("double", class = "CLASS"), formattable = structure(list(
formatter = "formatC", format = structure(list(format = "f", digits = 2), .Names = c("format", "digits")), preproc = "percent_preproc", postproc = "percent_postproc"), .Names = c("formatter", "format", "preproc", "postproc")), index = structure(c(1413981900, 1413982800, 1413983700, 1413984600, 1413985500, 1413986400, 1413987300, 1413988200, 1413989100, 1413990000, 1413990900, 1413991800, 1413992700, 1413993600, 1413994500, 1413995400, 1413996300, 1413997200, 1413998100, 1413999000, 1413999900, 1414000800, 1414001700, 1414002600, 1414003500, 1414004400, 1414005300, 1414006200, 1414007100, 1414008000, 1414009800, 1414010700, 1414011600, 1414015200, 1414016100, 1414017000, 1414017900, 1414018800, 1414019700, 1414020600, 1414021500, 1414022400, 1414023300, 1414024200, 1414025100, 1414026000, 1414026900, 1414027800, 1414028700, 1414029600, 1414030500, 1414031400, 1414032300, 1414033200, 1414034100, 1414035000, 1414035900, 1414036800, 1414037700, 1414038600, 1414039500, 1414040400, 1414041300, 1414042200, 1414043100, 1414044000, 1414044900, 1414045800, 1414046700, 1414047600, 1414048500, 1414049400, 1414050300, 1414051200, 1414052100, 1414053000, 1414053900, 1414054800, 1414055700, 1414056600, 1414057500, 1414058400, 1414059300, 1414060200, 1414061100, 1414062000, 1414062900, 1414063800, 1414064700, 1414065600, 1414066500, 1414067400, 1414068300, 1414069200, 1414070100, 1414071000, 1414071900, 1414072800, 1414073700, 1414074600, 1414075500, 1414076400, 1414077300, 1414078200, 1414079100, 1414080000, 1414080900, 1414081800, 1414082700, 1414083600, 1414084500, 1414085400, 1414086300, 1414087200, 1414088100, 1414089000, 1414089900, 1414090800, 1414091700, 1414092600, 1414093500, 1414094400, 1414096200, 1414097100, 1414098000, 1414101600, 1414102500, 1414103400, 1414104300, 1414105200, 1414106100, 1414107000, 1414107900, 1414108800, 1414109700, 1414110600, 1414111500, 1414112400, 1414113300, 1414114200, 1414115100, 1414116000, 1414116900, 1414117800, 1414118700, 1414119600, 1414120500, 1414121400, 1414122300, 1414123200, 1414124100, 1414125000, 1414125900, 1414126800, 1414127700, 1414128600, 1414129500, 1414130400, 1414131300, 1414132200, 1414133100, 1414134000, 1414134900, 1414135800, 1414136700, 1414137600, 1414138500, 1414139400, 1414140300, 1414141200, 1414142100, 1414143000, 1414143900, 1414144800, 1414145700, 1414146600, 1414147500, 1414148400, 1414149300, 1414150200, 1414151100, 1414152000, 1414152900, 1414153800, 1414154700, 1414155600, 1414156500, 1414157400, 1414158300, 1414159200, 1414160100, 1414161000, 1414161900, 1414162800, 1414163700, 1414164600, 1414165500, 1414166400, 1414167300), tzone = "", tclass = c("POSIXct", "POSIXt")), .Dim = c(199L, 1L))
XTS2 <- structure(c(0.238369333217119, 0.238289904084397, 0.238447230658951, 0.238791576808238, 0.230747528582736, 0.231930951391005, 0.23218095279688, 0.232655671733178, 0.232780332790686, 0.232737419368931, 0.232662430253128, 0.232742568778743, 0.233149068581523, 0.233801848401534, 0.233772492034511, 0.234624948258082, 0.23483556890299, 0.234796321794256, 0.23604671397238, 0.236133475815726, 0.236165665606426, 0.236028593613328, 0.23653404809854, 0.236405363926972, 0.236289501951192, 0.23595748354442, 0.235856148573546, 0.236430492368466, 0.236509873541663, 0.236320952959145, 0.236324663117125, 0.236230849130264, 0.236256142711785, 0.236443262637705, 0.236474635240435, 0.236478152698594, 0.236446010557742, 0.236433585738065, 0.236318823709326, 0.236343709733496, 0.236353484497234, 0.236293047785645, 0.236299398621113, 0.23632602130195, 0.236415592036867, 0.23644183016732, 0.236410860513062, 0.236407738860613, 0.236488620207848, 0.236521885178186, 0.236524525976254, 0.236543261190294, 0.236545852954505, 0.236554043549182, 0.236558510962661, 0.236500857781485, 0.236456811183667, 0.236429475415132, 0.23640238691203, 0.236406136067832, 0.236417470442709, 0.236338677460503, 0.236460106937516, 0.236499259900878, 0.236586474063617, 0.236543271644404, 0.216513672740977, 0.216369639034221, 0.216362697687712, 0.216797843111073, 0.217345016578261, 0.21783668813706, 0.217921216897962, 0.218248672738757, 0.21827277432708, 0.218353796658431, 0.218432929684165, 0.218426329912625, 0.218345183139418, 0.218458037645863, 0.218479196815153, 0.238658887053061, 0.238465939669501, 0.238523649852224, 0.238510811967291, 0.238618072611544, 0.238704138338676, 0.238707447338575, 0.23996516914318, 0.239424589962875, 0.239561518553478, 0.239421256904757, 0.239816852104079, 0.239445276547969, 0.239609107802299, 0.240012364436436, 0.24002458654273, 0.240130590848021, 0.239736081751086, 0.239857898122929, 0.239230991607954, 0.239805445609213, 0.240333558462471, 0.240410600760776, 0.240378078591145, 0.240399004222477, 0.239804814201628, 0.240033060931268, 0.240089397482534, 0.240197041264942, 0.239940687229403, 0.239983219836939, 0.240022917769706, 0.240337756345468, 0.240638638953238, 0.240145924499555, 0.240402820873626, 0.240634154733532, 0.240611140050359, 0.240534865617682, 0.240951950137048, 0.241127845406939, 0.241125700147753, 0.241126235785769, 0.24107570794763, 0.241088551839332, 0.241092988182315, 0.241086472173767, 0.241083390403282, 0.241091888348645, 0.241083158087253, 0.241064751836135, 0.241064210485496, 0.241091022867438, 0.240953810187424, 0.240481188224338, 0.240621074487305, 0.240541023392083, 0.240396295416436, 0.240434646218793, 0.240610526667198, 0.240808207542551, 0.240631718256586, 0.24064699063015, 0.24068954416015, 0.240711128194114, 0.240723728654195, 0.240775499747258, 0.24076580240029, 0.240772143433637, 0.240793451595961, 0.240796153528682, 0.240819395590463, 0.240807928484687, 0.241070198676456, 0.241015031342511, 0.240992277437459, 0.241067975400449, 0.241065024303712, 0.241163875314065, 0.241210015023487, 0.24111104460957, 0.241143389170502, 0.241126406233165, 0.241236385470386, 0.241216017627354, 0.241242224901225, 0.241204855537627, 0.241161113202215, 0.241188009018793, 0.241155655393916, 0.241104796660299, 0.241229168370518, 0.241187912977691, 0.241205571324508, 0.241275488693839, 0.241201890756208, 0.241062150030789, 0.241056667454678, 0.241020382598737, 0.241011174472952, 0.241075153997628, 0.240860609085096, 0.241671867834864, 0.242222875244792, 0.242105277990476, 0.242789197437053, 0.24262651942461, 0.242835209836078, 0.242065722773181, 0.242128191776504, 0.241866750527435, 0.242222755781399, 0.242405920724485, 0.242704642796114, 0.243681731065406, 0.243823985845211, 0.244075416453679, 0.244168166839201), .indexCLASS = c("POSIXct", "POSIXt"), .indexTZ = "", tclass = c("POSIXct", "POSIXt"), tzone = "", class = c("xts", "zoo"), .CLASS = structure("double", class = "CLASS"), formattable = structure(list(
formatter = "formatC", format = structure(list(format = "f", digits = 2), .Names = c("format", "digits")), preproc = "percent_preproc", postproc = "percent_postproc"), .Names = c("formatter", "format", "preproc", "postproc")), index = structure(c(1413981900, 1413982800, 1413983700, 1413984600, 1413985500, 1413986400, 1413987300, 1413988200, 1413989100, 1413990000, 1413990900, 1413991800, 1413992700, 1413993600, 1413994500, 1413995400, 1413996300, 1413997200, 1413998100, 1413999000, 1413999900, 1414000800, 1414001700, 1414002600, 1414003500, 1414004400, 1414005300, 1414006200, 1414007100, 1414008000, 1414009800, 1414010700, 1414011600, 1414015200, 1414016100, 1414017000, 1414017900, 1414018800, 1414019700, 1414020600, 1414021500, 1414022400, 1414023300, 1414024200, 1414025100, 1414026000, 1414026900, 1414027800, 1414028700, 1414029600, 1414030500, 1414031400, 1414032300, 1414033200, 1414034100, 1414035000, 1414035900, 1414036800, 1414037700, 1414038600, 1414039500, 1414040400, 1414041300, 1414042200, 1414043100, 1414044000, 1414044900, 1414045800, 1414046700, 1414047600, 1414048500, 1414049400, 1414050300, 1414051200, 1414052100, 1414053000, 1414053900, 1414054800, 1414055700, 1414056600, 1414057500, 1414058400, 1414059300, 1414060200, 1414061100, 1414062000, 1414062900, 1414063800, 1414064700, 1414065600, 1414066500, 1414067400, 1414068300, 1414069200, 1414070100, 1414071000, 1414071900, 1414072800, 1414073700, 1414074600, 1414075500, 1414076400, 1414077300, 1414078200, 1414079100, 1414080000, 1414080900, 1414081800, 1414082700, 1414083600, 1414084500, 1414085400, 1414086300, 1414087200, 1414088100, 1414089000, 1414089900, 1414090800, 1414091700, 1414092600, 1414093500, 1414094400, 1414096200, 1414097100, 1414098000, 1414101600, 1414102500, 1414103400, 1414104300, 1414105200, 1414106100, 1414107000, 1414107900, 1414108800, 1414109700, 1414110600, 1414111500, 1414112400, 1414113300, 1414114200, 1414115100, 1414116000, 1414116900, 1414117800, 1414118700, 1414119600, 1414120500, 1414121400, 1414122300, 1414123200, 1414124100, 1414125000, 1414125900, 1414126800, 1414127700, 1414128600, 1414129500, 1414130400, 1414131300, 1414132200, 1414133100, 1414134000, 1414134900, 1414135800, 1414136700, 1414137600, 1414138500, 1414139400, 1414140300, 1414141200, 1414142100, 1414143000, 1414143900, 1414144800, 1414145700, 1414146600, 1414147500, 1414148400, 1414149300, 1414150200, 1414151100, 1414152000, 1414152900, 1414153800, 1414154700, 1414155600, 1414156500, 1414157400, 1414158300, 1414159200, 1414160100, 1414161000, 1414161900, 1414162800, 1414163700, 1414164600, 1414165500, 1414166400, 1414167300), tzone = "", tclass = c("POSIXct", "POSIXt")), .Dim = c(199L, 1L))
z <- cbind(XTS1, XTS2)
colnames(z) <- c("XTS1", "XTS2")
plot.zoo(z, plot.type = "single", col = 1:2, xy.labels = "text")
Please note I need to use plot.zoo rather than plot.

Solution was provided in one of the comments. Here's full solution plus some explanatory notes:
z <- cbind(XTS1, XTS2)
colnames(z) <- c("XTS1", "XTS2")
plot.zoo(z, plot.type = "single", col = 1:2)
legend("topright", inset=c(0,0), y.intersp = 1, legend = c("XTS1", "XTS2"), lty = 1, bty = "n", col = c(1,2), cex = .5)
#cex: font size
#col: color
#bty: box around legends
#pch: symbol for legends (eg pch = c(1,2) => circle, triangle)
#lty: lines for legends (eg: lty = c(1,2) => solid, dash)
#y.intersp: vert interspacing (wout it legends may be far apart from each other)
#inset: for adjusting pos relative to eg "topright" (useful for xts as x coord in posixct format)

Change data to numeric type to determine which distribution fits better

I am trying to figure out which distribution fits best logarithmic stock returns. Here is my code:
library(TTR)
sign="^GSPC"
start=19900101
end=20160101
x <- getYahooData(sign, start = start, end = end, freq = "daily")
x$logret <- log(x$Close) - lag(log(x$Close))
x=x[,6]
I want to use the function descdist(x, discrete = FALSE) which I got from this amazing post https://stats.stackexchange.com/questions/132652/how-to-determine-which-distribution-fits-my-data-best Nonetheless r gives me this error: Error in descdist(x, discrete = FALSE) : data must be a numeric vector How do I transform my data to numeric vector??
The output from dput(head(x)) is:
structure(c(NA, -0.00258888580664607, -0.00865029791190164, -0.00980414107803274,
0.00450431207515223, -0.011856706127011), class = c("xts", "zoo"
), .indexCLASS = "Date", .indexTZ = "UTC", tclass = "Date", tzone = "UTC", index = structure(c(631238400,
631324800, 631411200, 631497600, 631756800, 631843200), tzone = "UTC", tclass = "Date"), .Dim = c(6L,
1L), .Dimnames = list(NULL, "logret"))

Pre-process x using as.numeric(na.omit(x)), or simply run
descdist(as.numeric(na.omit(x)), discrete = FALSE)

formatting titles and legends in ggplot2

I'm trying to format a chart using GGPLOT2. What I'm trying to accomplish feels like it should be fairly straightforward, but try as I might, no dice. I have the following chart.
#packages
library(ggplot2)
library(plyr)
library(reshape2)
library(PerformanceAnalytics)
library(timeSeries)
library(quantmod)
library(ggthemes)
#stock data
getSymbols(c("^FCHI","^GSPC"), from = "2008-12-31")
stockmarketdata <- cbind(GSPC$GSPC.Close, FCHI$FCHI.Close)
#normalize data
stockmarketdata$CAC40 <- stockmarketdata[,2] / 3217.97
stockmarketdata$SNP <- stockmarketdata[ ,1] / 903.25
#Isolate normalized data
marketdata <- stockmarketdata[,3:4]
GSPC.DF<-data.frame(Date=index(GSPC),coredata(GSPC))
FCHI.DF<-data.frame(Date=index(FCHI),coredata(FCHI))
#format before making ggplot chart
market.df <- data.frame(Date=index(marketdata), marketdata)
market.df.eco <- market.df
colnames(market.df.eco) <- c("Date", "CAC40", "S&P500")
market.df.eco.mlt <- melt(market.df.eco, id = "Date")
ggplot chart
chart.EQ <-
ggplot(market.df.eco.mlt, aes(x=Date, y=value, colour = variable, group = variable)) +
geom_line() +
labs(title="Equity Market", x= "", y = "", color="December 31st 2008=1", title.vjust=1) +
theme_economist() +
scale_color_economist() +
theme(legend.position = c(0,1),
legend.justification=c(0,1),
legend.direction="horizontal",
plot.title = element_text(vjust=1),
legend.title=element_text(vjust=1),
legend.title.align=0)
which looks like this
Ideally, I would like the title and legend to be flush with the left side. I would like both the legend and the title to be above the chart itself with the legend title directly below the chart title and the labels in the legend below the legend title. More like this.
If someone could help me with this formatting that would be excellent. Whenever I remove the justification argument from the theme(), the legend flies half way off the image. Thanks for any help you can offer!
If you don't have the finance packages here is a small sample of the data frame 'marketdata' if you apply the transformations from the code above you should be able to get a similar chart
marketdata<-
structure(c(0.999999990988107, 1.04093261932212, 1.04411163621786,
1.05539205492904, 1.03981394730218, 1.03305191720246, 1.02533584837646,
1.00874778726961, 0.993760008017477, 0.948424006438842, 0.930984404142985,
0.937469895617423, 0.929060849231037, 0.909045152378674, 0.902920185085629,
0.891748561049357, 0.885384230741741, 0.918395795175219, 0.918134733698574,
0.955885235101632, 0.935294611198986, 0.92416023828687, 0.910527459547479,
0.926792323421287, 0.953703729369758, 0.952864706321066, 0.970422359127027,
0.9741763027623, 0.938712915285102, 0.94087886804414, 0.921183257768096,
0.931599768487587, 0.920524420985901, 0.893491853559853, 0.893131405202659,
0.892674604797434, 0.854746951960397, 0.847699051575994, 0.841539867991311,
0.838081126300121, 1, 1.03160806864102, 1.02679215278162, 1.03481872349848,
1.00376421145862, 1.0071740714088, 0.985718213119291, 0.963476346526432,
0.965170194298367, 0.932875721007473, 0.934115682258511, 0.94117907002491,
NA, 0.891469660669803, 0.930240786050374, 0.916136174923886,
0.92106284195959, 0.926177699418766, 0.936296730694714, 0.967716608912261,
0.935665668419596, 0.914342657071686, 0.913855523941323, 0.928325502352615,
0.921372798228619, 0.936451675615832, 0.961638500968724, 0.963066720177138,
0.915759726543039, 0.923044550235262, 0.924649877663991, 0.915405510102408,
NA, 0.873700507057847, 0.872870172156103, 0.862374760033213,
0.85253250816496, 0.82295047550512, 0.8559535178522, 0.846830915029062
), .indexCLASS = "Date", .indexTZ = "UTC", tclass = "Date", tzone = "UTC", src = "yahoo", updated = structure(1440080950.2661, class = c("POSIXct",
"POSIXt")), class = c("xts", "zoo"), index = structure(c(1230681600,
1230854400, 1231113600, 1231200000, 1231286400, 1231372800, 1231459200,
1231718400, 1231804800, 1231891200, 1231977600, 1232064000, 1232323200,
1232409600, 1232496000, 1232582400, 1232668800, 1232928000, 1233014400,
1233100800, 1233187200, 1233273600, 1233532800, 1233619200, 1233705600,
1233792000, 1233878400, 1234137600, 1234224000, 1234310400, 1234396800,
1234483200, 1234742400, 1234828800, 1234915200, 1235001600, 1235088000,
1235347200, 1235433600, 1235520000), tzone = "UTC", tclass = "Date"), .Dim = c(40L,
2L), .Dimnames = list(NULL, c("CAC40", "SNP")))

Access First Graph

So I am using the PerformanceAnalytics package to plot performance summary of a simple PnL series so
library(xts)
library(PerformanceAnalytics)
dates <- structure(c(14008, 14011, 14012, 14013, 14014, 14015, 14018, 14019, 14020, 14021),
class = "Date")
PnL.xts = structure(c(0, -0.00510803851321091, -0.0102109843849305, -0.00138369232677364,
-0.00255257489213331, -0.00200279255353461, 0.0104232666033935,
0.00181846800788812, 4.72633257030091e-05, 0.0138334493571853),
.Dim = c(10L, 1L),
index = structure(c(1210291200, 1210550400, 1210636800, 1210723200,
1210809600, 1210896000, 1211155200, 1211241600,
1211328000, 1211414400),
tzone = "UTC", tclass = "Date"),
.indexCLASS = "Date", tclass = "Date",
.indexTZ = "UTC", tzone = "UTC", .Dimnames = list(NULL, "PnL"),
class = c("xts", "zoo"))
PnL.cum = cumsum(PnL.xts)
ret.ann = Return.annualized(PnL.xts, geometric = FALSE)
ret.cum = Return.cumulative(PnL.xts, geometric = FALSE)
ret.min = min(PnL.cum)
stdev = StdDev.annualized(PnL.xts)
sharpe = SharpeRatio.annualized(PnL.xts, geometric = FALSE)
stats = paste(paste("Annualized Return:", percent(round(ret.ann, 5))),
paste("Cumulative Return:", percent(round(ret.cum, 5))),
paste("Standard Deviation:", round(stdev, 5)),
paste("Sharpe Ratio:", round(sharpe, 5)), sep = '\n' )
lag = 1
descr = paste("Following fitted Granger model - ", lag, " day lag", sep = "")
charts.PerformanceSummary(R = PnL.xts, geometric = FALSE)
text(midrange(dates),ret.min, labels = stats, cex = 1)
mtext(descr, side = 3, line = 31)
However, I want to add some descriptive text into the cumulative PnL chart such as annualized return, cumulative return, standard deviation, and sharpe. How can I paste this into the whitespace in the first graph?
If I plotted the graph by itself, I could just do it with the above code. However, since the charts.PerformanceSummary function automatically plots 3 graphs, I can only access the 3rd graph it seems. Is there any way to access the first of 3 graphs printed by a function, so that I can write text on it relative to its own coordinates?
Here is an example of what I want: http://i.imgur.com/QXUb2Aq.png. But in this case, I had to manually, test values of the y coordinate until I found somthing that worked. Thanks!

Drawing x-y plot with rhombus width and height controlled by xError and yError in R

I posted a recent post about controlling x-y plots as two Normal curves and have since realised I was making things too complicated. I have since managed to plot it as ellipse's but this slightly over estimates the error; which ideally could be plotted as rhombus.
The code I have to date is:
plot(c(-5,10), c(-5,5), xlab = expression(Age), ylab = expression(value), type="n")
draw.ellipse(Age, value, a=Age_error, b=value_error, col="grey70")
Which plots:
Is there someway to replace the ellipse with a rhombus whose height is controlled by 2x value_error and width by 2x age_error?
My data frame is below
structure(list(Age = c(1L, 2L, 4L), value = c(3, -2, 0.01), Age_error = c(2,
1.4, 3), value_error = c(0.5, 1, 2.1)), .Names = c("Age", "value",
"Age_error", "value_error"), class = "data.frame", row.names = c(NA,
-3L))
Many thanks

You can use the my.symbols and ms.polygon functions in the TeachingDemos package to draw the rhombuses:
library(TeachingDemos)
plot(c(-5,10), c(-5,5), xlab = expression(Age), ylab = expression(value),
type="n")
my.symbols( Age, value, ms.polygon, n=4, xsize=2*Age_error,
ysize=2*value_error, linesfun=polygon, col='grey' )
Leave out linesfun and col if you don't want the rhombuses filled.

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