similar to: R plot like candlestick

Define an array > v<-1:256 > dim(v)<-rep(4,4) Subarrays can be obtained as follows: > v[3,2,,2] [1] 71 87 103 119 > v[3,,,2] [,1] [,2] [,3] [,4] [1,] 67 83 99 115 [2,] 71 87 103 119 [3,] 75 91 107 123 [4,] 79 95 111 127 In the general case this procedure is very tedious. Given an array A, dim(A)=(dim_1,dim_2,...,dim_d) and two vectors

Dear R users, I have 2 SpatialPointsDataFrame's, pcs and East. The column str_1 in the first (pcs) is: > pcs[0:4,] coordinates cat str_1 int_1 int_2 dbl_1 dbl_2 1 (101000, 263000) 1 "SM06B" 101000 263000 4.978915 -4.293668 2 (101000, 265000) 2 "SM06C" 101000 265000 4.960478 -4.266742 3 (101000, 267000) 3 "SM06D" 101000 267000

Hi Everybody, I am a total beginner at this so please bear with me. I downloaded by hand the file WIG20.txt (Warsaw Stock Exchange Index of 20 most important stocks). The format is this: Name,Date,Open,High,Low,Close,Volume WIG20,19940414,1000.00,1000.00,1000.00,1000.00,71600.000 WIG20,19940418,1050.50,1050.50,1050.50,1050.50,99950.000 WIG20,19940419,1124.90,1124.90,1124.90,1124.90,138059.000

Comparto totalmente la sugerencia de Carlos Ortega. Si aún así quieres gráficos de velas o gráficos OHLC el mejor paquete que puedes usar es uno de temas financieros: http://www.quantmod.com/ Ten en cuenta que en los mercados bursátiles tiene algún sentido usar ese tipo de gráfico ya que en la apertura y mayormente en el cierre diario se concentran operaciones. Me imagino que esto no es así con

> colnames = c("date","price") > data = read.csv(file="data.csv", sep=",", header=F, nrows=261, skip=5, col.names=colnames) > library(quantmod) > data date price 1 2011-12-18 13.7825 2 2011-12-11 13.5500 ... ... ... 259 2007-01-07 10.8256 260 2006-12-31 10.8531 261 2006-12-24 10.8169 # Here's where I would like to use

On 04/06/2016 07:58 PM, Joshua Ulrich wrote: > On Tue, Apr 5, 2016 at 9:17 PM, James Hirschorn > <james.hirschorn at hotmail.com> wrote: >> OpCl works on xts objects but not on quantmod.OHLC objects. Is this a bug? >> > Thanks for the minimal, reproducible example. > > Looks like a bug. There's no as.quantmod.OHLC.xts method, so the zoo > method is

Hello, I have trouble with saving and showing candlestick graph. I want to draw daily 1-minute candle chart per each day and save it repeatedly. The data I saved and is used in my code is as the following format: ----------------------------------------------------- Index,Open,High,Low,Close # header 2011-11-01 9:00:00 ,248.50,248.95,248.20,248.70 ... 2011-11-01 15:15:00

On Fri, Apr 8, 2016 at 10:51 AM, James Hirschorn <james.hirschorn at hotmail.com> wrote: > > > On 04/06/2016 07:58 PM, Joshua Ulrich wrote: >> >> On Tue, Apr 5, 2016 at 9:17 PM, James Hirschorn >> <james.hirschorn at hotmail.com> wrote: >>> >>> OpCl works on xts objects but not on quantmod.OHLC objects. Is this a >>> bug?

Dear Sir/madam, I'm getting a problem with a R-code which calculate Fisher Information Matrix for Hybrid Censored Weibull Distribution. My problem is that: when I take weibull(scale=1,shape=2) { i.e shape>1} I got my desired result but when I take weibull(scale=1,shape=0.5) { i.e shape<1} it gives error : Error in integrate(int2, lower = 0, upper = t) : the integral is probably

Buenos días: Me gustaría representar gráficamente datos horarios de temperaturas máximas, medias y mínimas. Hasta ahora he utilizado los gráficos de cotizaciones de Excel, ¿podría hacer algo similar con R?. En ggplot2 he visto los gráficos ribbon pero creo que no son lo que necesito ya que necesitan una especie de intervalo de confianza y yo lo que tengo son datos puntuales con su máxima y su

Hi All, I came across some trouble with this function when trying to plot intraday data. I can't manage to plot candelsticks I get a line instead and I don't understand why. I put below data sample and code. > head(x) open high low close 2010-10-27 08:59:59 13821 13824 13818 13824 2010-10-27 09:05:00 13823 13830 13823 13830 2010-10-27 09:09:59

Does anyone know what happened to Ant in RHEL4? j

Folks, Thanks to Jerry Jones, David Josephson, John Novack, and George Cohn for their posts about how a key system phone works. Now I'm starting to scrounge around for a KSU so I can look into the Collector's Net work :-) Most of the phones in the house are (fairly) new single-line analog jobs; but, since "retro-telephony" is an amusing part of this hobby, it seems only

Hi, I have just seen Stefan Steinhaus' web page : http://www.uni-franfurt.de/~stst/ncrunch.html I think it would be nice to include "R" as well. I have taken Forrest Young's email on stat-lisp list and changed the stuff for "R" :) Here it is: (someone please check this so we can also send it to Stefan Steinhaus.

i am new to the quantmod package . so if the answer is trivial please excuse me. i want to study stock values within a day. i get current stock updates using getQuotes and then want to produce usual quantmod graphs with that values. also the graph should be able of adding technical indicators. please help. in addition it will be helpful if anyone suggests how to run that code continuously to get

Hi, I'm new to R and Quantmod. I'm trying to make use of Quantmod's features however I'm failing at the first hurdle and I'm finding most R documentation a little cryptic. I have some minutely data for the same day for a stock in an existing timeSeries (ts) object. For example: Date time price volume 2012-03-12 08:01 45.01 10000 2012-03-12 08:02

OpCl works on xts objects but not on quantmod.OHLC objects. Is this a bug? Example error: x.Date <- as.Date("2003-02-01") + c(1, 3, 7, 9, 14) - 1 set.seed(1) x <- zoo(matrix(runif(20, 0, 1), nrow=5, ncol=4), x.Date) q <- as.quantmod.OHLC(x,c("Open","High","Low","Close")) # error OpCl(q) #> Error in `colnames<-`(`*tmp*`, value =

Hi all, I would need to put datas downloaded with quantmod into a matrix or a data frame. Suppose to start from here: *require(quantmod) ticker.list <- c('AAA', 'ALTSALES', 'AMBNS', 'AMBSL', 'BAA', 'EMRATIO', 'FEDFUNDS', 'GASPRICE', 'GS1', 'GS10', 'GS20', 'LNS14100000', 'MORTG',

Hello all: Friend told me that we can download the stock historical quote from Yahoo site by R! Could you tell me that is true or not, how to do that? Thanks! -- View this message in context: http://r.789695.n4.nabble.com/How-download-Yahoo-Quote-tp3769563p3769563.html Sent from the R help mailing list archive at Nabble.com.

Hey guys, i want to calculate the continuasly compounded returns for stock prices. Formula for CCR: R_t = ln(P_t/P_{t-1})*100 With R: First i have to modify the vectors, so that they have the same length and we start at the second observation. log(GOOG1[-1]/GOOG1[1:length(GOOG1)-1])*100 That does work with normal vectors. My Questions: 1) I want to use this for stock prices. so i