
- •Interpolation: a tsdata.Interpolation object defining
- •Increment: interval between two subsequent time values
- •IsTimeFirst: True (default) when the first dimension of the data array is
- •Indicates additional field-value pairs using the following fields:
- •Vector.
- •Interpolation methods are 'linear' and 'zoh'.
- •Values.
- •Values assigned to a time series object
- •Is false. Index is specified as an integer array.
- •Is a valid datestr format, the output strings from getAbsTime have the same format.
- •Time Series events
- •View the properties (EventData, Name, Time, Units, StartDate) of the
- •Overloaded arithmetic operations
- •Overloaded statistical functions
- •Time Series collection general
- •Time Series collection manipulations
- •In string name, from the tscollection tsc.
- •Values.
- •Vertcat Overloaded vertical concatenation for tscollection object
- •Is a valid datestr format, the output strings from getAbsTime have the same format.
Overloaded statistical functions
<timeseries/iqr> - Interquartile range of the time series data.
IQR Return the interquartile range of the time series data values
IQR(TS) returns the interquartile range of TS.Data
IQR(TS,'PropertyName1', PropertyValue1,...) includes optional input
arguments:
'MissingData': 'remove' (default) or 'interpolate'
indicates how to treat missing data during the calculation
'Quality': a vector of integers
indicates which quality codes represent missing samples
(vector case) or missing observations (>2 dimensional array
case)
'Weighting': 'none' (default) or 'time'
When 'time' is used, large time values correspond to large weights.
Reference page in Help browser
doc timeseries/iqr
<timeseries/max> - Max of the time series data.
MAX Return the maximum value in the time series data
MAX(TS) returns the max of TS.Data
MAX(TS,'PropertyName1', PropertyValue1,...) includes optional input
arguments:
'MissingData': 'remove' (default) or 'interpolate'
indicates how to treat missing data during the calculation
'Quality': a vector of integers
indicates which quality codes represent missing samples
(vector case) or missing observations (>2 dimensional array
case)
'Weighting': 'none' (default) or 'time'
When 'time' is used, large time values correspond to large weights.
See also timeseries/sum, timeseries/min
Reference page in Help browser
doc timeseries/max
<timeseries/mean> - Mean of the time series data.
MEAN Return the mean value of the time series data
MEAN(TS) returns the mean value of TS.Data.
MEAN(TS,'PropertyName1', PropertyValue1,...) includes optional input
arguments:
'MissingData': 'remove' (default) or 'interpolate'
indicates how to treat missing data during the calculation
'Quality': a vector of integers
indicates which quality codes represent missing samples
(vector case) or missing observations (>2 dimensional array
case)
'Weighting': 'none' (default) or 'time'
When 'time' is used, large time values correspond to large weights.
See also timeseries/iqr, timeseries/median, timeseries/std
Reference page in Help browser
doc timeseries/mean
<timeseries/median> - Median of the time series data.
MEDIAN Return the median value in time series data
MEDIAN(TS) returns the median of TS.Data
MEDIAN(TS,'PropertyName1', PropertyValue1,...) includes optional input
arguments:
'MissingData': 'remove' (default) or 'interpolate'
indicates how to treat missing data during the calculation
'Quality': a vector of integers
indicates which quality codes represent missing samples
(vector case) or missing observations (>2 dimensional array
case)
'Weighting': 'none' (default) or 'time'
When 'time' is used, large time values correspond to large weights.
See also timeseries/mean, timeseries/iqr, timeseries/std
Reference page in Help browser
doc timeseries/median
<timeseries/min> - Min of the time series data.
MIN Return the minimum value in the time series data
MIN(TS) return the min of TS.Data
MIN(TS,'PropertyName1', PropertyValue1,...) includes optional input
arguments:
'MissingData': 'remove' (default) or 'interpolate'
indicates how to treat missing data during the calculation
'Quality': a vector of integers
indicates which quality codes represent missing samples
(vector case) or missing observations (>2 dimensional array
case)
'Weighting': 'none' (default) or 'time'
When 'time' is used, large time values correspond to large weights.
See also timeseries/sum, timeseries/max
Reference page in Help browser
doc timeseries/min
<timeseries/std> - Standard deviation of the time series data.
STD Return the standard deviation of time series data.
STD(TS) returns the standard deviation of TS.Data.
STD(TS,'PropertyName1', PropertyValue1,...) includes optional input
arguments:
'MissingData': 'remove' (default) or 'interpolate'
indicates how to treat missing data during the calculation
'Quality': a vector of integers
indicates which quality codes represent missing samples
(vector case) or missing observations (>2 dimensional array
case)
'Weighting': 'none' (default) or 'time'
When 'time' is used, large time values correspond to large weights.
See also timeseries/mean, timeseries/iqr, timeseries/median,
timeseries/var
Reference page in Help browser
doc timeseries/std
<timeseries/sum> - Sum of the time series data.
SUM Return the sum of the time series data.
SUM(TS) returns the sum of TS.Data
SUM(TS,'PropertyName1', PropertyValue1,...) includes optional input
arguments:
'MissingData': 'remove' (default) or 'interpolate'
indicates how to treat missing data during the calculation
'Quality': a vector of integers
indicates which quality codes represent missing samples
(vector case) or missing observations (>2 dimensional array
case)
'Weighting': 'none' (default) or 'time'
When 'time' is used, large time values correspond to large weights.
See also timeseries/min, timeseries/max
Reference page in Help browser
doc timeseries/sum
<timeseries/var> - Variance of the time series data.
VAR Return the variance of the values in time series data.
VAR(TS) returns the variance of TS.Data
VAR(TS,'PropertyName1', PropertyValue1,...) includes optional input
arguments:
'MissingData': 'remove' (default) or 'interpolate'
indicates how to treat missing data during the calculation
'Quality': a vector of integers
indicates which quality codes represent missing samples
(vector case) or missing observations (>2 dimensional array
case)
'Weighting': 'none' (default) or 'time'
When 'time' is used, large time values correspond to large weights.
See also timeseries/mean, timeseries/iqr, timeseries/median,
timeseries/std
Reference page in Help browser
doc timeseries/var