Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: Stata resources for newbie
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: Stata resources for newbie
Date
Tue, 28 May 2013 12:25:12 +0100
The fix to my prose is here applied within the last sentence of my
previous post in this thread.
[U] is the User's Guide, bundled as .pdf in recent versions of Stata.
> Richard's right, but I am usually surprised that most recommendations
> overlook what is to me the most obvious and the most instructive
> single source.
>
> [U] starts very easy and gets more difficult in a well graded way. But
> Margaret's question seems to imply someone not a beginner in
> statistics, just in Stata, and [U] is ideal for such person. Numerous
> users seem to determined to slow themselves down by Googling
> everything when the richest resource on the language is embedded within
> Stata.
Nick
Nick
[email protected]
On 28 May 2013 12:22, Margaret MacDougall <[email protected]> wrote:
> Many thanks, Nick and Robert, for your valued speedy responses. Yes, I am
> trying to introduce a student of statistics to Stata within the context of a
> summer project, where they will have lots to learn beyond Stata programming.
> Therefore, when using Stata, they need to focus on the exercise of
> translating the types of formulae that arise within the context of
> non-standard hypothesis testing into a language they have not met before. In
> terms of a suitable resource, I expect the keywords are 'systematic' and
> 'focused'.
>
> Nick, in your reply, I understand you as saying that it is "[U]" that is
> "the most obvious and the most instructive single source". Could you kindly
> confirm what is meant by "[U]". Please excuse me for not knowing.
>
> Best wishes
>
> Margaret
>
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Dr Margaret MacDougall
> Medical Statistician and Researcher in Education
> Centre for Population Health Sciences
> University of Edinburgh Medical School
> Teviot Place
> Edinburgh EH8 9AG
>
> Tel: +44 (0) 131 650 3211
> Fax: +44 (0) 131 650 6909
> E-mail: [email protected]
> http://www.chs.med.ed.ac.uk/cphs/people/staffProfile.php?profile=mmacdoug
>
>
> On 27/05/2013 18:49, Nick Cox wrote:
>>
>> Richard's right, but I am usually surprised that most recommendations
>> overlook what is to me the most obvious and the most instructive
>> single source.
>>
>> [U] starts very easy and gets more difficult in a well graded way. But
>> Margaret's question seems to imply someone not a beginner in
>> statistics, just in Stata, and [U] is ideal for such person. Numerous
>> users seem to determined to slow themselves down by Googling
>> everything when the richest resource is bundled on the language within
>> Stata.
>> Nick
>> [email protected]
>>
>>
>> On 27 May 2013 18:32, Richard Williams<[email protected]>
>> wrote:
>>>
>>> Numerous freebie resources are listed at
>>>
>>> http://www.stata.com/links/resources-for-learning-stata/
>>>
>>> I myself use the UCLA pages a lot. My own Stata highlights page is at
>>>
>>> http://www3.nd.edu/~rwilliam/stats/StataHighlights.html
>>>
>>> For books, see
>>>
>>> http://www.stata.com/bookstore/books-on-stata/
>>>
>>> The book by Hamilton is the classic and it is what I used when I started.
>>> But several good newer books (e.g. Acock) have come along in recent
>>> years.
>>> Which you prefer might depend on your field of study.
>>>
>>>
>>>
>>> At 11:02 AM 5/27/2013, Margaret MacDougall wrote:
>>>>
>>>>
>>>> Hello
>>>>
>>>> I would welcome ideas on useful resources (including textbooks) which
>>>> list
>>>> users have used successfully in helping complete beginners with Stata to
>>>> learn efficiently how to translate formulae and equations from
>>>> theoretical
>>>> statistics into Stata syntax. The new user will be applying formulae
>>>> within
>>>> the context of hypothesis testing but using modern methods unavailable
>>>> through a point-and-click approach.
>>>>
>>>> Many thanks
>>>>
>>>> Best wishes
>>>>
>>>> Margaret
>>>>
>>>> --
>>>>
>>>>
>>>> The University of Edinburgh is a charitable body, registered in
>>>> Scotland, with registration number SC005336.
>>>>
>>>> *
>>>> * For searches and help try:
>>>> * http://www.stata.com/help.cgi?search
>>>> * http://www.stata.com/support/faqs/resources/statalist-faq/
>>>> * http://www.ats.ucla.edu/stat/stata/
>>>
>>>
>>>
>>> -------------------------------------------
>>> Richard Williams, Notre Dame Dept of Sociology
>>> OFFICE: (574)631-6668, (574)631-6463
>>> HOME: (574)289-5227
>>> EMAIL: [email protected]
>>> WWW: http://www.nd.edu/~rwilliam
>>>
>>>
>>> *
>>> * For searches and help try:
>>> * http://www.stata.com/help.cgi?search
>>> * http://www.stata.com/support/faqs/resources/statalist-faq/
>>> * http://www.ats.ucla.edu/stat/stata/
>>
>> *
>> * For searches and help try:
>> * http://www.stata.com/help.cgi?search
>> * http://www.stata.com/support/faqs/resources/statalist-faq/
>> * http://www.ats.ucla.edu/stat/stata/
>>
>
> --
> The University of Edinburgh is a charitable body, registered in
> Scotland, with registration number SC005336.
>
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/