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示例 18:最大大小的数据集

这展示了 Winsteps 可以分析的最大数据集大小:9,999,999 人(行)和 64,000 个项目(列)。 在这里,20MB 响应。 此版本的 Winsteps 的最大值是 640GB 可能的响应中的 2GB 观察到的响应。 如果您需要更大容量,请发送电子邮件至 mike@winsteps.com。

; This control file is EXAM18.TXT
; 9,999,999 persons and 64,000 items: maximum of 2GB non-missing responses
; each traversal of the data takes up to 8 hours.
; There are at least 4 traversals: import, PROX iteration, JMLE iteration, fit statistics.
TITLE='Example 18: Demonstration of maximum size dataset in outline'
ITEM1=11 ; Responses start in column 11
NI=64000 ; maximum number of items
NAME1=1 ; start of person label
NAMELENGTH = 10 ; length of person label
CODES=01 ; dichotomous data

; FOR LARGE DATA SETS

CMLE=No ; CMLE=Yes only works to about NI=300 items. Results of CMLE the same as JMLE from about NI=100 items
SUBSETS=No ; only check for subsets once, if in doubt
DISTRACTORS=No ; do distractors only in the final analysis run
MPROX=1 ; minimum PROX iterations
CONVERGE=B ; set reasonable convergence limits
RCONV=0.1 ; this maximum residual is probably much too small - use Ctrl+F to stop JMLE iterations
LCONV=0.01 ; set at smallest visible logit change
; ESTMULT= ; set this from the Diagnosis menu if changes in estimates are too small at each iteration

; Exam18.txt dataset is the outline of a 9,999,999 persons x 64,000 items dataset
; Exam18.txt has 20MB non-missing observations
; | 1 18| 19-32000 |32001-64000|
; -------------------------------------
; 1 | data below | 0......0 | 1........1|
; 35 | data below | 0 | 1|
; 36 | 0.........0 | 1|
; 5000000| 0 | 1|
; |-----------------------------------|
; 5000001| 1 | 0|
; 9999999| 1...................1 | 0........0|
; -------------------------------------

EDFILE=*
; persons items responses
; 1-35 1-18 is dataset below
1-35 19 0
36 1-18 0
1 19-32000 0
1 32001-64000 1
9999999 1-32000 1
9999999 32001-64000 0
36-5000000 1 0
5000001-9999999 1 1
1-5000000 64000 1
5000001-9999999 64000 0
*

;PLFILE= no more person names in this demonstration file
;ILFILE= no more item names in this demonstration file
&END

Item 1 label
; no more item names in this demonstration file
END NAMES
Adam M 111111100000000000
Anne F 111111111100000000
Audrey F 111111111100100000
Barbara F 111100100100000000
Bert M 111110101100000000
Betty F 111111111000000000
Blaise M 111111111111100000
Brenda F 111111111100000000
Britton F 111011111000000000
Carol F 111100101000000000
David M 111111111110100000
Don M 111111111001000000
Dorothy F 111111111100000000
Elsie F 111101111100000000
Frank M 111000000000000000
Helen F 111111111100000000
James M 111111111110000000
Janet F 111111111100000000
Joe M 111110011111000000
Kim F 111111111100100000
Linda F 111011000000000000
Lisa F 111111111100000000
Martha F 111111111100000000
Mike M 111111111111101000
Lud M 111111001110010000
Richard M 111111100000000000
Rick M 111111111010000000
Rod M 111111111111000000
Ron M 111111111110000000
Susan F 111111111000000000
Thomas M 111111111010000000
Tracie F 111111111110100110
Walter M 111111111101010000
William M 111111111110000000
Zula F 111111111100110000

 

 

 

 

 

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