similar to: reading and formating irregular time series for VaR

Hi I am working with this data: my data summary is: > summary(spi) open high low close volume Min. :4315 Min. :4365 Min. :4301 Min. :4352 Min. : 0 1st Qu.:4480 1st Qu.:4497 1st Qu.:4458 1st Qu.:4475 1st Qu.:11135 Median :4609 Median :4631 Median :4594 Median :4614 Median :14439 Mean :4620

Thanks, Pikal and Jim. Yes, it has been a long time Jim. I hope you have been well. Pikal, thanks. Your solution may be close to what I want. I did not know that I was posting in HTML. I just copied the data from Excel and posted in the email in Gmail. The data is still in Excel, because I have not yet figured out what is a good way to organize it in R. I am posting it again below as text. These

Hi all, I am new to R. How does one go about fitting a trend-line to a scatter plot? Any help is appreciated. Thanks and regards, Anupam [[alternative HTML version deleted]]

In the browser the link downloads immediately, in less than a second. I let the command run in R for five minutes, using R Studio. Nothing happened. On Fri, 9 Aug 2024 at 17:54, Ivan Krylov <ikrylov at disroot.org> wrote: > ? Thu, 8 Aug 2024 12:43:23 +0530 > Anupam Tyagi <anuptyagi at gmail.com> ?????: > > > In open.connection(con, "rb") : > > URL

Thanks, John. However, loess.smooth() is producing a very different curve compared to the one that results from applying predict() on a loess(). I am guessing they are using different defaults. Correct? On Thu, 23 Mar 2023 at 20:20, John Fox <jfox at mcmaster.ca> wrote: > Dear Anupam Tyagi, > > You didn't include your data, so it's not possible to see exactly what >

Thanks! You are correct, the graphs look very similar, except ggplot is scaling the text font to make it more readable. Is there a way to scale down the x-axis labels, so they are readable? On Fri, 7 Jul 2023 at 12:02, PIKAL Petr <petr.pikal at precheza.cz> wrote: > Hallo Anupam > > I do not see much difference in ggplot or lattice, they seems to me > provide almost identical

Hi everyone, I am new to R and I have a beginner's question on Time Series: I have an irregular time series that goes like this: TIMESTAMP PRICE 2010-11-29 12:29:28 25.255 2010-11-29 12:30:47 25.255 2010-11-29 12:36:58 25.230 2010-11-29 12:43:14 25.235 2010-11-29 12:44:18 25.235 The first column is the xts date-time and second the is the actual series.

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On 10-11-08 08:05 AM, wolfgang.polasek at gmail.com wrote: > Thanks, what if a I want to add to the plot a second column of observations, like a type h line from the x,y plane? > Wolfgang see segments3d. rgl is somewhat more do-it-yourself/construct-your-own-geometrical objects than the various 2D graphic systems (a bit more than base

Hello, Does R have objects to handle irregular time series data? For example, Splus uses the "its" object. I suppose I could write my own "its" function in R. Thank You, Tony Fagan ASYNC Technology, Inc. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://stat.ethz.ch/pipermail/r-help/attachments/20000117/b8302bf9/attachment.html

Dear All, I could not find the irregular forms table in xapian. Please, could you tell me how to define/add words to the irregular forms table in xapian? Thank you a lot. Sascha

Dear, I have XYZ data available in a MySQL database. I get it out, can plot the data with the plot() function, load it into a geoR datastructure. But what I actually would like to do is a simple contouring of the data based on a no Kriging interpolation such as TIN based. I know the first thing I shold do is interpolate a full matrix for the region I have my points for, then contour should

R: Is there an easy way to get the acf and pacf for an irregular times series? That is, the acf and pacf with lag lengths that are in units of time, not observation number. Thanks, Jason Higbee Research Associate Federal Reserve Bank of St. Louis The views expressed in this email are the author's and not necessarily those of the Federal Reserve Bank of St. Louis or the Federal Reserve

Dear R users: My question is how to write output in a specific formate with irregular spacing? Say that I have the following DF with three columns (A-C): A B C a10 100.0 212 The objective is to write an output file such that column A occupies 1-10 spaces aligned to the left, column B occupies 11-15 spaces aligned to the right, and finally column C takes 16-25 spaces

If I understood correctly in irregular time series (its) objects, values are indexed by time stamps in POSIX format. But if I try to select the value of my time series corresponding to specific time stamp in the following way: x - its object i <- as.POSIXct("2006-05-19 15:30:00") x[i,] or x[i] or x[i,1] I get the error message: subscript out of bounds. If I use integers: x[1,1] it

Hello, I'm dealing with the following problem: I have a table with x and y coordinates and corresponding values of a mineral concentration, let's call it z. Can someone provide me a short step-by-step manual for the steps necessary to get a contour map? How to sort and interpolate my matrix to an equidistant grid which can afterwards be plotted by contour(x,y,z)? (e.g. fill the

Given a set of coordinates that form an irregular sampling area, is there an R function to determine boundary points (coordinates defining the limits of the area), either with or without user interaction ? # for example, given the following irregular sampling area, how could I define the boundary polygon? library(SemiPar) data(scallop) plot(scallop$longitude, scallop$latitude) Thanks. --Dale

Dear All, Here is what I am trying to achieve: I would like to plot some data in 3D. Usually, one has a matrix of the kind y_1(x_1) , y_1(x_2).....y_1(x_i) y_2(x_1) , y_2(x_2).....y_2(x_i) ........................................... y_n(x_1) , y_n(x_2)......y_n(x_i) where e.g. y_2(x_1) is the value of y at time 2 at point x_1 (see that the grid in x is the same for the y values at all times).

Hello there, Could anybody please help on how to correctly use ggplot when printing irregural time series, by irregural here I mean for example the absence of some dates in the whole timespan of a dataset. To be more precise in the following example I generated some random data which spans the whole November up to now and dropped weekend days but for some reasons ggplot continues to plot the

Hello, I have a question about working with dates in R. I would like to summarize a response variable based on a designated and irregular time period. The purpose of this is to compare the summarized values (which were sampled daily) to another variable that was sampled less frequently. Below is a trivial example where I would like to summarize the response variable dat$x such that I have average

Hello, I am having trouble constructing a time series object for my data. This is because the frequency is irregular: one year, there may be only 100 individuals, another 200. There are 100 measurements for every individual. I have the observations in a data frame with the year that they were taken from as a factor. I would like to plot the top 10 mean measurements for each year and connect them