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Optionally, you can rank cases in ascending or descending order and organize ranks into subgroups. in Java Encoder Code39 in Java Optionally, you can rank cases in ascending or descending order and organize ranks into subgroups.




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Optionally, you can rank cases in ascending or descending order and organize ranks into subgroups. using barcode drawer for j2ee control to generate, create 3 of 9 barcode image in j2ee applications. iPad 160 8 . Rank Cases: Types You can select mu j2se 39 barcode ltiple ranking methods. A separate ranking variable is created for each method. Ranking methods include simple ranks, Savage scores, fractional ranks, and percentiles.

You can also create rankings based on proportion estimates and normal scores.. Rank. Simple rank . The value of the new variable equals its rank.

Savage score. The new variable contains Savage scores based on an exponential. distribution. Fractional rank. The value of the new variable equals rank divided by the sum of the weights of the nonmissing cases. Fractional rank as percent. Each rank is divided by the number of cases with valid values and multiplied by 100. Sum of case weigh ts. The value of the new variable equals the sum of case weights. The new variable is a constant for all cases in the same group.

Ntiles. Ranks are based on percentile groups, with each group containing approximately the same number of cases. For example, 4 Ntiles would assign a rank of 1 to cases below the 25th percentile, 2 to cases between the 25th and 50th percentile, 3 to cases between the 50th and 75th percentile, and 4 to cases above the 75th percentile.

Proportion estimates. Estimates of the cumulative proportion of the distribution. corresponding to a particular rank. Normal scores. Th e z scores corresponding to the estimated cumulative proportion. Proportion Estimation Formula.

For proportion estimates and normal scores, you can select the proportion estimation formula: Blom, Tukey, Rankit, or Van der Waerden. Blom. Creates new ranking variable based on proportion estimates that uses the.

formula (r-3/8) / (w+1/4), where w is the sum of the case weights and r is the rank. Tukey. Uses the formula (r-1/3) / (w+1/3), where r is the rank and w is the sum of the case weights. Rankit. Uses the formula (r-1/2) / w, where w is the number of observations and r is the rank, ranging from 1 to w. Van der Waerden. Van der Waerden"s transformation, defined by the formula r/(w+1), where w is the sum of the case weights and r is the rank, ranging from 1 to w. 161 Data Transformations Figure 8-13 Rank Cases Types dialog box Rank Cases: Ties This dialog box c ontrols the method for assigning rankings to cases with the same value on the original variable.. Figure 8-14 Rank Cases Ties dialog box The following tab le shows how the different methods assign ranks to tied values:. Value 10 15 15 15 16 20 Mean 1 3 3 3 5 6 Low 1 2 2 2 5 6 High 1 4 4 4 5 6 Sequential 1 2 2 2 3 4 162 8 . Automatic Recode The Automatic Rec ode dialog box allows you to convert string and numeric values into consecutive integers. When category codes are not sequential, the resulting empty cells reduce performance and increase memory requirements for many procedures. Additionally, some procedures cannot use string variables, and some require consecutive integer values for factor levels.

. Figure 8-15 Automatic Recode dialog box The new variable( s) created by Automatic Recode retain any defined variable and value labels from the old variable. For any values without a defined value label, the original value is used as the label for the recoded value. A table displays the old and new values and value labels.

String values are recoded in alphabetical order, with uppercase letters preceding their lowercase counterparts. Missing values are recoded into missing values higher than any nonmissing values, with their order preserved. For example, if the original variable has 10 nonmissing values, the lowest missing value would be recoded to 11, and the value 11 would be a missing value for the new variable.

. 163 Data Transformations Use the same recoding scheme for all variables. This option allows you to apply a single autorecoding sche javabean barcode 3/9 me to all the selected variables, yielding a consistent coding scheme for all the new variables. If you select this option, the following rules and limitations apply: All variables must be of the same type (numeric or string). All observed values for all selected variables are used to create a sorted order of values to recode into sequential integers.

User-missing values for the new variables are based on the first variable in the list with defined user-missing values. All other values from other original variables, except for system-missing, are treated as valid..

Treat blank strin g values as user-missing. For string variables, blank or null values are not treated as system-missing. This option will autorecode blank strings into a user-missing value higher than the highest non-missing value.

Templates. You can save the jdk barcode 3 of 9 autorecoding scheme in a template file and then apply it to other variables and other data files. For example, you may have a large number of alphanumeric product codes that you autorecode into integers every month, but some months new product codes are added that change the original autorecoding scheme. If you save the original scheme in a template and then apply it to the new data that contain the new set of codes, any new codes encountered in the data are autorecoded into values higher that the last value in the template, preserving the original autorecode scheme of the original product codes.

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