Databases
StackOverflow2013
Postsdbo
POHow to analyse irregular time-series in R
 

Note that there are some explanatory texts on larger screens.

plurals
  1. POHow to analyse irregular time-series in R
    primarykey
    data
    text
    <p>I have a <code>zoo</code> time series in R:</p> <pre><code>d &lt;- structure(c(50912, 50912, 50912, 50912, 50913, 50913, 50914, 50914, 50914, 50915, 50915, 50915, 50916, 50916, 50916, 50917, 50917, 50917, 50918, 50918, 2293.8, 2302.64, 2310.5, 2324.02, 2312.25, 2323.93, 2323.83, 2338.67, 2323.1, 2320.77, 2329.73, 2319.63, 2330.86, 2323.38, 2322.92, 2317.71, 2322.76, 2286.64, 2294.83, 2305.06, 55.9, 62.8, 66.4, 71.9, 59.8, 65.7, 61.9, 67.9, 38.5, 36.7, 43.2, 30.3, 42.4, 33.5, 48.8, 52.7, 61.2, 30, 41.7, 50, 8.6, 9.7, 10.3, 11.1, 9.2, 10.1, 9.6, 10.4, 5.9, 5.6, 6.6, 4.7, 6.5, 5.2, 7.5, 8.1, 9.5, 4.6, 6.4, 7.7, 9.29591864400155, 10.6585128174944, 10.4386464748912, 11.5738448647708, 10.9486074772952, 10.9546547052814, 10.3733963771546, 9.15627378048238, 8.22993822910891, 5.69045896511178, 6.95269658370746, 7.78781665368086, 7.20089569039135, 4.9759716583555, 8.99378907920762, 10.0924594632635, 10.3909638115674, 6.28203685114275, 9.16021859457356, 7.56829801052175, 0.695918644001553, 0.9585128174944, 0.138646474891241, 0.473844864770827, 1.74860747729523, 0.854654705281426, 0.773396377154565, -1.24372621951762, 2.32993822910891, 0.0904589651117833, 0.352696583707458, 3.08781665368086, 0.700895690391349, -0.224028341644497, 1.49378907920762, 1.99245946326349, 0.890963811567351, 1.68203685114275, 2.76021859457356, -0.131701989478247), .Dim = c(20L, 6L), .Dimnames = list(NULL, c("station_id", "ztd", "zwd", "iwv", "radiosonde", "error")), index = structure(c(892094400, 892116000, 892137600, 892159200, 892180800, 892245600, 892267200, 892288800, 892332000, 892353600, 892375200, 892418400, 892440000, 892461600, 892504800, 892526400, 892548000, 892591200, 892612800, 892634400 ), class = c("POSIXct", "POSIXt")), class = "zoo") </code></pre> <p>I want to perform some of the analyses that the <code>ts</code> package allows me to do, such as decomposing the time-series into the trend and seasonality, and looking at the auto-correlation function. However, trying to do any of these gives an error of: <code>Error in na.fail.default(as.ts(x)) : missing values in object</code>.</p> <p>Looking into this in more depth, it seems that all of these functions work on <code>ts</code> objects that have, by definition, regularly-spaced observations. My observations aren't, so I end up with a lot of <code>NA</code>s and everything fails.</p> <p>Is there a way to analyse the irregular time-series in R? Or do I need to convert them to be regular somehow? If so, is there a simple way to do this?</p>
    singulars
    1. PO
      singulars
      1. PTAnswer
    1. This table or related slice is empty.
    1. PTQuestion
    1. This table or related slice is empty.
    1. USrobintw
    plurals
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. PO
      singulars
      1. PTAnswer
    1. VO
      singulars
      1. POHow to analyse irregular time-series in R
      1. USRoland
      1. VTFavorite
    2. VO
      singulars
      1. POHow to analyse irregular time-series in R
      1. This table or related slice is empty.
      1. VTUpMod
    3. VO
      singulars
      1. POHow to analyse irregular time-series in R
      1. This table or related slice is empty.
      1. VTUpMod
    1. This table or related slice is empty.
 

Querying!

 
Guidance
A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

SQuiL has stopped working due to an internal error.

If you are curious you may find further information in the browser console, which is accessible through the devtools (F12).

Reload