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E Select the unit that the duration represents from the drop-down list. Select Duration in Java Integrate European Article Number 13 in Java E Select the unit that the duration represents from the drop-down list. Select Duration

E Select the unit that the duration represents from the drop-down list. Select Duration generate, create european article number 13 none in java projects iReport Application if using a variable and the variable is in the form of a duration, such as hh:mm or hh:mm:ss. 160 7 . Specify Result of Adding or Subtracting a Duration from a Date/Time Variable Figure 7-23 Add or subtract duration, step 3 E Enter a name for Result Variable. This cannot be the name of an existing variable. Optionally, you can: Assign a descriptive variable label to the new variable. Subtract Date-Format Variables To subtract two date-format variables:. E Select Calculate the number of time units between two dates on the screen of the Date and Time Wizard labeled Do Calculations on Dates. 161 Data Transformations Select Date-Format Variables to Subtract Figure 7-24 Subtract dates, step 2 E Select the variables to subtract. E Select the unit for the result from the drop-down list. 162 7 . Specify Result of Subtracting Two Date-Format Variables Figure 7-25 Subtract dates, step 3 E Enter a name for Result Variable. This cannot be the name of an existing variable. Optionally, you can: Assign a descriptive variable label to the new variable. Subtract Duration Variables To subtract two duration va j2se EAN/UCC-13 riables:. E Select Subtract two durations on the screen of the Date and Time Wizard labeled Do Calculations on Dates. 163 Data Transformations Select Duration Variables to Subtract Figure 7-26 Subtract durations, step 2 E Select the variables to subtract. 164 7 . Specify Result of Subtracting Two Duration Variables Figure 7-27 Subtract durations, step 3 E Enter a name for Result V swing EAN13 ariable. This cannot be the name of an existing variable. E Select a duration format from the Output Format list.

. Optionally, you can: Assign a descriptive variable label to the new variable. Extract Part of a Date/Time Variable To extract a component such as the year from a date/time variable:. E Select Extract a part of a date or time variable on the introduction screen of the Date and Time Wizard. 165 Data Transformations Select Component to Extract from Date/Time Variable Figure 7-28 Get part of a date/time variable, step 1 E Select the variable conta ining the date or time part to extract. E Select the part of the variable to extract, from the drop-down list. You can extract.

information from dates that is not explicitly part of the display date, such as day of the week. 166 7 . Specify Result of Extracting Component from Date/Time Variable Figure 7-29 Get part of a date/time variable, step 2 E Enter a name for Result V UPC-13 for Java ariable. This cannot be the name of an existing variable. E If you re extracting the date or time part of a date/time variable, then you must select a.

format from the Output Form at list. In cases where the output format is not required, the Output Format list will be disabled. Optionally, you can: Assign a descriptive variable label to the new variable.

. Time Series Data Transformations Several data transformation s that are useful in time series analysis are provided: Generate date variables to establish periodicity and to distinguish between historical, validation, and forecasting periods.. 167 Data Transformations Create new time series vari ables as functions of existing time series variables. Replace system- and user-missing values with estimates based on one of several methods. A time series is obtained by measuring a variable (or set of variables) regularly over a period of time.

Time series data transformations assume a data file structure in which each case (row) represents a set of observations at a different time, and the length of time between cases is uniform.. Define Dates The Define Dates dialog box allows you to generate date variables that can be used to establish the periodicity of a time series and to label output from time series analysis.. Figure 7-30 Define Dates dialog box Cases Are. Defines the time interval used to generate dates. Not dated removes any previously defined date variables. Any variables with the following names are deleted : year_, quarter_, month_, week_, day_, hour_, minute_, second_, and date_.. Custom indicates the presence of custom date variables created with command syntax (for example, a four -day work week). This item merely reflects the current state of the working data file. Selecting it from the list has no effect.

(See the. 170 7 E Select the variable(s) from which you want to create new time series variables. Only numeric variables can be us ed. Optionally, you can: Enter variable names to override the default new variable names. Change the function for a selected variable.

. Time Series Transformation Functions Difference. Nonseasonal dif ference between successive values in the series. The order is the number of previous values used to calculate the difference.

Because one observation is lost for each order of difference, system-missing values appear at the beginning of the series. For example, if the difference order is 2, the first two cases will have the system-missing value for the new variable. Seasonal difference.

Difference between series values a constant span apart. The span. is based on the currently d swing GTIN-13 efined periodicity. To compute seasonal differences, you must have defined date variables (Data menu, Define Dates) that include a periodic component (such as months of the year). The order is the number of seasonal periods used to compute the difference.

The number of cases with the system-missing value at the beginning of the series is equal to the periodicity multiplied by the order. For example, if the current periodicity is 12 and the order is 2, the first 24 cases will have the system-missing value for the new variable..

Centered moving average. Av erage of a span of series values surrounding and including the current value. The span is the number of series values used to compute the average.

If the span is even, the moving average is computed by averaging each pair of uncentered means. The number of cases with the system-missing value at the beginning and at the end of the series for a span of n is equal to n/2 for even span values and for odd span values. For example, if the span is 5, the number of cases with the system-missing value at the beginning and at the end of the series is 2.

Prior moving average. Average of the span of series values preceding the current value. The span is the number of preceding series values used to compute the average.

The number of cases with the system-missing value at the beginning of the series is equal to the span value..
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