World's baby No. 7 billion could be born in UP - Times Of India

World's baby No. 7 billion could be born in UP - Times Of India

dos commands site

http://labnol.blogspot.com/2006/04/useful-windows-xp-dos-commands-tricks.html

Truncating a string variable & other things

This text has been copied from UCLA website!!!

Create a String Variable up that will be the name converted into upper case, lo that will be the name converted to lower case, and sub that will be the third through eighth character in the persons name. Note that we first had to use the string command to tell SPSS that up lo and sub are string variables that will have a length of up to 14 characters. Had we omitted the string command, these would have been treated as numeric variables, and when SPSS tried to assign a character value to the numeric variables, it would have generated an error. We also create len that is the length of the name variable, and len2

that is the length of the persons name.

STRING up lo (A14)
/sub (A6).

COMPUTE up  = UPCASE(name).
COMPUTE lo  = LOWER(name).
COMPUTE sub  = SUBSTR(name,3,8).
COMPUTE len = LENGTH(name).

COMPUTE len2 = LENGTH(RTRIM(name)).

For more info visit: http://www.ats.ucla.edu/stat/spss/modules/functions.htm

Random Forest

group of many decision trees. learn more:

http://en.wikipedia.org/wiki/Random_forest

Assigning Student Grades Using Excel

Here is the formula from MS office website:

=IF(A2>89,"A",IF(A2>79,"B", IF(A2>69,"C",IF(A2>59,"D","F"))))

If more than 6 conditions to check, better to use LOOKUP then IF/THEN

=LOOKUP(A2,{0,60,63,67,70,73,77,80,83,87,90,93,97},{"F","D-","D","D+","C-","C","C+","B-","B","B+","A-","A","A+"})


source: http://office.microsoft.com/en-us/excel-help/if-HP005209118.aspx

a very simple table using CTables

	group Universe vs sample
	1 Universe		2 Sample		Total Respondents
	Column N %	Count	Column N %	Count	Column N %	Count
1 Female	53.0%	904	61.0%	153	54.0%	1057
2 Male	46.3%	789	39.0%	98	45.3%	887
Not specified	.7%	12	.0%	0	.6%	12

To get the above table use the following syntex:


CTABLES /TABLE gender2 by group [colpct count]
/CATEGORIES VARIABLES=group TOTAL=YES LABEL='Total Respondents'.

&

		Main groups
		Our big univ		our sample		Total
		Column N %	Count	Column N %	Count	Column N %	Count
	1 Female	53.0%	904	61.0%	153	54.0%	1057
	2 Male	46.3%	789	39.0%	98	45.3%	887
	3 Not specified	.7%	12	.0%	0	.6%	12
	Total	100.0%	1705	100.0%	251	100.0%	1956

For the above, here is the syntax (notice the columns also have totals now):
CTABLES /TABLE gender2 by group [colpct count]
/CATEGORIES VARIABLES=group TOTAL=YES LABEL='Total Respondents'
/CATEGORIES VARIABLES= gender2 TOTAL=YES POSITION=AFTER.

Confirmatory vs. Exploratory analysis

Here is a very nice and succinct analysis of the difference between confirmatory vs. exploratory data analysis:

http://www.geog.ucsb.edu/~joel/g210_w07/lecture_notes/lect01/oh07_01_2.html

So, my dissertation would be more on the exploratory side.....