From 100858ba8c03581afefc60719f863c9e936dbb4e Mon Sep 17 00:00:00 2001 From: Friedrich Beckmann Date: Fri, 12 Jun 2020 15:35:19 +0200 Subject: [PATCH] doc: fixed references for DESCRIPTIVES, T-TEST, RELIABILITY and REGRESSION The example for the descriptives command and the command description had the same reference. Same for T-TEST, RELIABILITY and REGRESSION. --- doc/tutorial.texi | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/doc/tutorial.texi b/doc/tutorial.texi index b4d4ac11b2..ea74a2fbfb 100644 --- a/doc/tutorial.texi +++ b/doc/tutorial.texi @@ -341,10 +341,10 @@ The example file @file{physiology.sav} contains a number of physiological measurements of a sample of healthy adults selected at random. However, the data entry clerk made a number of mistakes when entering the data. -@ref{descriptives} illustrates the use of @cmd{DESCRIPTIVES} to screen this +@ref{ex-descriptives} illustrates the use of @cmd{DESCRIPTIVES} to screen this data and identify the erroneous values. -@float Example, descriptives +@float Example, ex-descriptives @cartouche @example @prompt{PSPP>} get file='@value{example-dir}/physiology.sav'. @@ -371,7 +371,7 @@ In this case, the results show unexpectedly low values in the Minimum column, suggesting incorrect data entry.} @end float -In the output of @ref{descriptives}, +In the output of @ref{ex-descriptives}, the most interesting column is the minimum value. The @var{weight} variable has a minimum value of less than zero, which is clearly erroneous. @@ -393,7 +393,7 @@ represent data entry errors. @float Example, ex1 @cartouche -[@dots{} continue from @ref{descriptives}] +[@dots{} continue from @ref{ex-descriptives}] @example @prompt{PSPP>} examine height, weight /statistics=extreme(3). @end example @@ -452,7 +452,7 @@ From now on, they will be ignored in analysis. For detailed information about the @cmd{RECODE} command @pxref{RECODE}. If you now re-run the @cmd{DESCRIPTIVES} or @cmd{EXAMINE} commands in -@ref{descriptives} and @ref{ex1} you +@ref{ex-descriptives} and @ref{ex1} you will see a data summary with more plausible parameters. You will also notice that the data summaries indicate the two missing values. @@ -464,7 +464,7 @@ You will also notice that the data summaries indicate the two missing values. Data entry errors are not the only reason for wanting to recode data. The sample file @file{hotel.sav} comprises data gathered from a customer satisfaction survey of clients at a particular hotel. -In @ref{reliability}, this file is loaded for analysis. +In @ref{ex-reliability}, this file is loaded for analysis. The line @code{display dictionary.} tells @pspp{} to display the variables and associated data. The output from this command has been omitted from the example for the sake of clarity, but @@ -489,7 +489,7 @@ subtracting their value from 6 has the effect of inverting them: compute @var{var} = 6 - @var{var}. @end example @noindent -@ref{reliability} uses this technique to recode the variables +@ref{ex-reliability} uses this technique to recode the variables @var{v3} and @var{v5}. After applying @cmd{COMPUTE} for both variables, all subsequent commands will use the inverted values. @@ -510,11 +510,11 @@ you will notice that they ask very similar questions. One would therefore expect the values of these variables (after recoding) to closely follow one another, and we can test that with the @cmd{RELIABILITY} command (@pxref{RELIABILITY}). -@ref{reliability} shows a @pspp{} session where the user (after recoding +@ref{ex-reliability} shows a @pspp{} session where the user (after recoding negatively scaled variables) requests reliability statistics for @var{v1}, @var{v3} and @var{v4}. -@float Example, reliability +@float Example, ex-reliability @cartouche @example @prompt{PSPP>} get file='@value{example-dir}/hotel.sav'. @@ -732,7 +732,7 @@ A common statistical test involves hypotheses about means. The @cmd{T-TEST} command is used to find out whether or not two separate subsets have the same mean. -@ref{t-test} uses the file @file{physiology.sav} previously +@ref{ex-t-test} uses the file @file{physiology.sav} previously encountered. A researcher suspected that the heights and core body temperature of persons might be different depending upon their sex. @@ -772,7 +772,7 @@ The equal variances row indicates that the two tailed significance for the null hypothesis and conclude that there is insufficient evidence to suggest that the body temperature of male and female persons are different. -@float Example, t-test +@float Example, ex-t-test @cartouche @example @prompt{PSPP>} get file='@value{example-dir}/physiology.sav'. @@ -880,7 +880,7 @@ is linearly related to others. If a variable is found to be linearly related, then this can be used to predict future values of that variable. -In example @ref{regression}, the service department of the company wanted to +In example @ref{ex-regression}, the service department of the company wanted to be able to predict the time to repair equipment, in order to improve the accuracy of their quotations. It was suggested that the time to repair might be related to the time @@ -892,7 +892,7 @@ This command not only tests if the variables are related, but also identifies the potential linear relationship. @xref{REGRESSION}. -@float Example, regression +@float Example, ex-regression @cartouche @example @prompt{PSPP>} get file='@value{example-dir}/repairs.sav'. -- 2.30.2