Indicates additional field-value pairs using the following fields:

'Quality': an array of Quality codes (for more information, type help tsprops)

'OverwriteFlag': a logical value that control how to handle

duplicated times. When true, the new samples will

overwrite old samples defined at the same times.

For example:

ts=addsample(ts,'Data',3.2,'Quality',1,'OverwriteFlag',true,'Time',3);

See also timeseries/timeseries, timeseries/delsample

Reference page in Help browser

doc timeseries/addsample

<timeseries/delsample> - Delete sample(s) from a time series object.

DELSAMPLE Delete one or more samples from a timeseries object

TS = DELSAMPLE(TS,'Index',VALUE) removes samples from the timeseries

object TS. Here, VALUE specifies the indices of the TS time vector that

correspond to the samples you want to remove.

TS = DELSAMPLE(TS,'Value',VALUE) removes samples from the time series

object TS. Here, VALUE speifies the time values that correspond to the

samples you want to remove.

See also timeseries/timeseries, timeseries/addsample

Reference page in Help browser

doc timeseries/delsample

<timeseries/synchronize> - Synchronize two time series objects onto a common time vector.

SYNCHRONIZE Synchronize two time series objects onto a common time

Vector.

[TS1 TS2] = SYNCHRONIZE(TS1, TS2, 'SYNCHRONIZEMETHOD') creates a new time series object by synchronizing the time series objects TS1 and TS2 onto a common time vector. SYNCHRONIZE replaces both of the original time

series objects TS1 and TS2 with the new synchronized time series

objects. The string 'SYNCHRONIZEMETHOD' defines the method for synchronizing the time series and can be one of the following:

'Union' - Resamples time series on a time vector that is a union of the

time vectors of TS1 and TS2 on the time interval where the two

time vectors overlap.

'Intersection' - Resamples time series on a time vector that is the

intersection of the time vectors of TS1 and TS2.

'Uniform' - this method requires an additional argument as follows:

[TS1 TS2] = SYNCHRONIZE(TS1, TS2, 'UNIFORM', 'interval',VALUE) resamples time

series on a uniform time vector, where VALUE specifies the time

interval. The range of the uniform time vector is equal to the overlap

of the time vectors of TS1 and TS2. The interval units are assumed to

be the larger units of TS1 and TS2.

You can specify additional arguments by using Property-Value pairs:

'interpmethod',VALUE: forces the specified interpolation method

(over the default method) for this SYNCHORNIZE operation. VALUE can

be either a string, 'linear' or 'zoh', or a tsdata.interpolation

object that contains a user-defined interpolation method.

'qualitycode',VALUE: an integer (between -128 to 127) you specify

by VALUE is used as the quality for both time series after the

synchronization.

'keepOriginalTimes',VALUE: a logical value (TRUE or FALSE) you specify

by VALUE is used to indicate whether the new time series should

keep the original time values. For example,

ts1 = timeseries([1 2],[datestr(now); datestr(now+1)]);

ts2 = timeseries([1 2],[datestr(now-1); datestr(now)]);

Note that ts1.timeinfo.StartDate is one day after ts2.timeinfo.StartDate.

if you use

[ts1 ts2] = synchronize(ts1,ts2,'union');

then the ts1.timeinfo.StartDate is changed to be the same as

ts2.timeinfo.StartDate. But, if you use

[ts1 ts2] = synchronize(ts1,ts2,'union','KeepOriginalTimes',true);

then the ts1.timeinfo.StartDate is not changed.

'tolerance',VALUE: a real number you specify by VALUE is used

as the tolerance for differentiating two time values when comparing

the TS1 and TS2 time vectors. The default tolerance is 1e-10. For

example, if the sixth time value in TS1 is 5+(1e-12) and the sixth

time value in TS2 is 5-(1e-13), by default, they will both be

treated as 5. To differentiate those two times, you can set

'tolerance' to a smaller value, for example 1e-15.

See also timeseries/timeseries, tsdata.interpolation/interpolation

Reference page in Help browser

doc timeseries/synchronize

<timeseries/resample> - Resample time series data.

RESAMPLE Redefine a time series based on a new time vector.

TS = RESAMPLE(TS,TIMEVEC) resamples the time series object TS on the

new time vector TIMEVEC. When TIMEVEC is numeric, it is assumed to be

specified relative to the TS.TimeInfo.StartDate property and in the same

units as the time series TS uses. When TIMEVEC is an array of date

strings, then it is used directly.

TS = RESAMPLE(TS,TIMEVEC,INTERP_METHOD) resamples time series TS using the interpolation method given by the string INTERP_METHOD. Valid