2.2. Instructions for the laboratory work

The sequence of laboratory work:

 Preparation of initial data collected as data LR1 (driven that this data for the first six months of the company);

 formation in the program STATISTICA array of source data and data obtained as a result of temporary shifts base CR (driven that such temporal shifts will be 15 with value = =1 day);

 construction combined time charts and graphs basic CR - results posting time shifts base CR;

 the procedure autocorrelation analysis and construction korelohramu;

 determining when reproducibility TP and report on the work.

2.2.1. Formation of an array of initial data

The procedure for forming an array of data is performed by the method that was described in the materials LR1.

For the array to be used in LR2 in windows "Number variables" ("Number of variables") are making value 15, and "Number of registers" ("Number of cases") - are making value 25. After appearing on-screen custom format array in its first column ("Var1") are making data base CR.

In other speakers are making data generated as results of temporal shifts base CR 1 day on the principle that illustrates on fig 2.4

Fig.2.4. Formation of an array of initial information

After that - save and save the file to disk.

2.2.2. Building a combined time charts basic cr and cr-shift

Route implementation of this procedure was described in materials LR1: function "graphics"  team "2D graphics"  "graphics lines" (2D Line Plots - Variables)

After that:

 options in "Quick": button "Variables" ("Variables") notes (required - basic and recommended CR 04.03 CR following shift) created sample data, and in the "Type Graphics" - "Multiple";

 options in "Fitness Options 1" in the box "Case names" choose mode "Off".

Click OK and the screen will appear ordered by the timing diagrams (fig.2.5).

Fig.2.5. Combined time series chart

2.2.3. Conducting procedures autocorrelation analysis and construction korelohramm

The purpose of this procedure - holding ACF values ​​for the Baseline Czech Republic and the Czech Republic, which was obtained from the base CR by successive shifts by an amount = 1 working day. These data can be obtained by using correlation analysis program, which is part of the package STATISTICA. To enter this mode to: perform actions on the route: the main window of the program STATISTICA "Statistics" ("Analysis / Descriptive statistics")  "The basic statistics / Tables" ("Basic Statistics / Tables") "Correlation matrices" (fig.2.6). Press OK and enter the mode correlation analysis.

Fig.2.6. Mode selection window “Correlation matrices”

In view of this regime (fig.2.7) hit "Two lists (rect. Matrix)" and select the sample to be analyzed on (fig 2.8)

Fig.2.7. Selection window installations using “Correlation matrices”

Fig.2.8. Window making samples for autocorrelation analysis

After making names sample press OK.

In the selection mode settings "Correlation matrices" (rys.2.7) press "Summary" and the results of calculation of autocorrelation coefficients will be displayed on screen(fig 2.9)

Fig.2.9. The results of calculating autocorrelation coefficients

These results should be moved in the base data set previously by adding it another column, as shown on fig.2.10. This procedure can be performed using the command "Insert" on the main panel of the program. In the windows of the regime ("Add Variables") should appropriate attributes and insert a column that appeared in the array, make the coefficients of autocorrelation.

After making the data already known procedures plotting to get a graph ACF - korelohram (fig.2.11).

Fig.2.10. Adding autocorrelation coefficients to the main data array

Fig.2.11. Figure ACF - korelohram