Corrected various misspellings in the documentation

diff --git a/doc/expressions.texi b/doc/expressions.texi
index c77ddcae844687c189ff276ce322f0c338c3b574..db842f2a1d634500abb37fc3229ddb99bc78c356 100644 (file)
--- a/doc/expressions.texi
+++ b/doc/expressions.texi
@@ -1476,7 +1476,7 @@ Constraints: 0 <= @var{p} < 1, @var{x} >= 1.
 @deftypefn {Function} {} PDF.NEGBIN (@var{x}, @var{n}, @var{p})
 @deftypefnx {Function} {} CDF.NEGBIN (@var{x}, @var{n}, @var{p})
 @deftypefnx {Function} {} RV.NEGBIN (@var{n}, @var{p})
 @deftypefn {Function} {} PDF.NEGBIN (@var{x}, @var{n}, @var{p})
 @deftypefnx {Function} {} CDF.NEGBIN (@var{x}, @var{n}, @var{p})
 @deftypefnx {Function} {} RV.NEGBIN (@var{n}, @var{p})

-Negative binomial distribution with number of successes paramter
+Negative binomial distribution with number of successes parameter

 @var{n} and probability of success parameter @var{p}.  Constraints:
 integer @var{n} >= 0, 0 < @var{p} <= 1, integer @var{x} >= 1.
 @end deftypefn
 @var{n} and probability of success parameter @var{p}.  Constraints:
 integer @var{n} >= 0, 0 < @var{p} <= 1, integer @var{x} >= 1.
 @end deftypefn

diff --git a/doc/statistics.texi b/doc/statistics.texi
index b4cbcdd86b23c5ea217eb37a4d60e96d72e8ec89..bf5ea3a3bcb33d31a8e65eeec049ad4f06ffd457 100644 (file)
--- a/doc/statistics.texi
+++ b/doc/statistics.texi
@@ -258,7 +258,7 @@ useful there is more than one dependent variable and at least one factor.   If
 containing boxplots for all the factors.
 If /COMPARE=VARIABLES is specified, then one plot per factor is produced, each 
 each containing one boxplot per dependent variable.
 containing boxplots for all the factors.
 If /COMPARE=VARIABLES is specified, then one plot per factor is produced, each 
 each containing one boxplot per dependent variable.

-If the /COMPARE subcommand is ommitted, then PSPP uses the default value of 
+If the /COMPARE subcommand is omitted, then PSPP uses the default value of 

 /COMPARE=GROUPS.
  
 The ID subcommand also pertains to boxplots.  If given, it must
 /COMPARE=GROUPS.
  
 The ID subcommand also pertains to boxplots.  If given, it must


@@ -605,7 +605,7 @@ The /PRINT subcommand may be used to select which features of the analysis are r
       Identical to INITIAL and EXTRACTION.
 @end itemize
 
       Identical to INITIAL and EXTRACTION.
 @end itemize
 

-If /PLOT=EIGEN is given, then a ``Scree'' plot of the eigenvalues will be printed.  This can be useful for visualising
+If /PLOT=EIGEN is given, then a ``Scree'' plot of the eigenvalues will be printed.  This can be useful for visualizing

 which factors (components) should be retained.
 
 The /FORMAT subcommand determined how data are to be displayed in loading matrices.  If SORT is specified, then the variables
 which factors (components) should be retained.
 
 The /FORMAT subcommand determined how data are to be displayed in loading matrices.  If SORT is specified, then the variables


@@ -841,7 +841,7 @@ they follow a normal distribution with a mean of 3.5 and a standard deviation of
   NPAR TESTS
         /KOLMOGOROV-SMIRNOV (normal 3.5 2.0) = @var{score} @var{age}.
 @end example
   NPAR TESTS
         /KOLMOGOROV-SMIRNOV (normal 3.5 2.0) = @var{score} @var{age}.
 @end example

-If the variables need to be tested against different distributions, then a seperate
+If the variables need to be tested against different distributions, then a separate

 subcommand must be used.  For example the following syntax tests @var{score} against
 a normal distribution with mean of 3.5 and standard deviation of 2.0 whilst @var{age}
 is tested against a normal distribution of mean 40 and standard deviation 1.5.
 subcommand must be used.  For example the following syntax tests @var{score} against
 a normal distribution with mean of 3.5 and standard deviation of 2.0 whilst @var{age}
 is tested against a normal distribution of mean 40 and standard deviation 1.5.


@@ -1085,7 +1085,7 @@ which they would be needed. This is the default.
 
 
 @menu
 
 
 @menu

-* One Sample Mode::             Testing against a hypothesised mean
+* One Sample Mode::             Testing against a hypothesized mean

 * Independent Samples Mode::    Testing two independent groups for equal mean
 * Paired Samples Mode::         Testing two interdependent groups for equal mean
 @end menu
 * Independent Samples Mode::    Testing two independent groups for equal mean
 * Paired Samples Mode::         Testing two interdependent groups for equal mean
 @end menu


@@ -1094,7 +1094,7 @@ which they would be needed. This is the default.
 @subsection One Sample Mode
 
 The @cmd{TESTVAL} subcommand invokes the One Sample mode.
 @subsection One Sample Mode
 
 The @cmd{TESTVAL} subcommand invokes the One Sample mode.

-This mode is used to test a population mean against a hypothesised
+This mode is used to test a population mean against a hypothesized

 mean. 
 The value given to the @cmd{TESTVAL} subcommand is the value against
 which you wish to test.
 mean. 
 The value given to the @cmd{TESTVAL} subcommand is the value against
 which you wish to test.


@@ -1353,7 +1353,7 @@ RELIABILITY
 @end display
 
 @cindex Cronbach's Alpha
 @end display
 
 @cindex Cronbach's Alpha

-The @cmd{RELIABILTY} command performs reliablity analysis on the data.
+The @cmd{RELIABILTY} command performs reliability analysis on the data.

 
 The VARIABLES subcommand is required. It determines the set of variables 
 upon which analysis is to be performed.
 
 The VARIABLES subcommand is required. It determines the set of variables 
 upon which analysis is to be performed.


@@ -1388,7 +1388,7 @@ analysis tested against the totals.
 @section ROC
 
 @vindex ROC
 @section ROC
 
 @vindex ROC

-@cindex Receiver Operating Characterstic
+@cindex Receiver Operating Characteristic

 @cindex Area under curve
 
 @display
 @cindex Area under curve
 
 @display

diff --git a/src/language/command.def b/src/language/command.def
index e0c1a034ae67a9bf69ee079c54f0db86d51654a1..f8ee29af615a84a7d6ba24b5f4eb3fe16d6aa9c3 100644 (file)
--- a/src/language/command.def
+++ b/src/language/command.def
@@ -167,7 +167,7 @@ UNIMPL_CMD ("CATPCA", "Categorical principle components analysis")
 UNIMPL_CMD ("CATREG", "Categorical regression")
 UNIMPL_CMD ("CCF", "Time series cross correlation")
 UNIMPL_CMD ("CLEAR TRANSFORMATIONS", "Clears transformations from active dataset")
 UNIMPL_CMD ("CATREG", "Categorical regression")
 UNIMPL_CMD ("CCF", "Time series cross correlation")
 UNIMPL_CMD ("CLEAR TRANSFORMATIONS", "Clears transformations from active dataset")

-UNIMPL_CMD ("CLUSTER", "Hierachial clustering")
+UNIMPL_CMD ("CLUSTER", "Hierarchical clustering")

 UNIMPL_CMD ("CONJOINT", "Analyse full concept data")
 UNIMPL_CMD ("CORRESPONDENCE", "Show correspondence")
 UNIMPL_CMD ("COXREG", "Cox proportional hazards regression")
 UNIMPL_CMD ("CONJOINT", "Analyse full concept data")
 UNIMPL_CMD ("CORRESPONDENCE", "Show correspondence")
 UNIMPL_CMD ("COXREG", "Cox proportional hazards regression")


@@ -192,7 +192,7 @@ UNIMPL_CMD ("GENLOG", "Categorical model fitting")
 UNIMPL_CMD ("GET TRANSLATE", "Read other file formats")
 UNIMPL_CMD ("GGRAPH", "Custom defined graphs")
 UNIMPL_CMD ("GRAPH", "Draw graphs")
 UNIMPL_CMD ("GET TRANSLATE", "Read other file formats")
 UNIMPL_CMD ("GGRAPH", "Custom defined graphs")
 UNIMPL_CMD ("GRAPH", "Draw graphs")

-UNIMPL_CMD ("HILOGLINEAR", "Hierarchial loglinear models")
+UNIMPL_CMD ("HILOGLINEAR", "Hierarchical loglinear models")

 UNIMPL_CMD ("HOMALS", "Homogeneity analysis")
 UNIMPL_CMD ("IGRAPH", "Interactive graphs")
 UNIMPL_CMD ("INFO", "Local Documentation")
 UNIMPL_CMD ("HOMALS", "Homogeneity analysis")
 UNIMPL_CMD ("IGRAPH", "Interactive graphs")
 UNIMPL_CMD ("INFO", "Local Documentation")


@@ -211,7 +211,7 @@ UNIMPL_CMD ("MODEL HANDLE", "Define server connection")
 UNIMPL_CMD ("MODEL LIST", "Show existing models")
 UNIMPL_CMD ("MODEL NAME", "Specify model label")
 UNIMPL_CMD ("MULTIPLE CORRESPONDENCE", "Multiple correspondence analysis")
 UNIMPL_CMD ("MODEL LIST", "Show existing models")
 UNIMPL_CMD ("MODEL NAME", "Specify model label")
 UNIMPL_CMD ("MULTIPLE CORRESPONDENCE", "Multiple correspondence analysis")

-UNIMPL_CMD ("MULT RESPONSE", "Multiple reponse analysis")
+UNIMPL_CMD ("MULT RESPONSE", "Multiple response analysis")

 UNIMPL_CMD ("MVA", "Missing value analysis")
 UNIMPL_CMD ("NAIVEBAYES", "Small sample bayesian prediction")
 UNIMPL_CMD ("NLR", "Non Linear Regression")
 UNIMPL_CMD ("MVA", "Missing value analysis")
 UNIMPL_CMD ("NAIVEBAYES", "Small sample bayesian prediction")
 UNIMPL_CMD ("NLR", "Non Linear Regression")