From 6f6aa162743eba1fe22d31cd0fbc7f0f26e5e43a Mon Sep 17 00:00:00 2001 From: acp29 Date: Sat, 6 Jan 2024 21:25:05 +0000 Subject: [PATCH] minor tweak to readme, and added extra instruction to make file --- README.md | 4 +- docs/function/boot.html | 12 ++-- docs/function/boot1way.html | 4 +- docs/function/bootbayes.html | 6 +- docs/function/bootci.html | 32 ++++----- docs/function/bootclust.html | 8 +-- docs/function/bootknife.html | 4 +- docs/function/bootlm.html | 6 +- docs/function/bootmode.html | 4 +- docs/function/bootstrp.html | 96 +++++++++++++------------- docs/function/images/boot1way_601.png | Bin 24196 -> 24171 bytes docs/function/images/boot1way_701.png | Bin 24309 -> 24405 bytes docs/readme.html | 10 +-- make.m | 26 ++++--- 14 files changed, 108 insertions(+), 104 deletions(-) diff --git a/README.md b/README.md index e66a7843..64982b8b 100755 --- a/README.md +++ b/README.md @@ -27,9 +27,9 @@ Core functions in this package are known to be compatible with versions of Octav ### Installation -To install (or test) the statistics-resampling package at it's existing location in either Octave or Matlab, follow these steps: +To install (or test) the statistics-resampling package at a location of your choice, follow these steps: - * Download the package release from [here](https://github.com/gnu-octave/statistics-resampling/releases/). If it is a compressed file (.zip or .tar.gz), extract it's contents and move the package directory to the desired location. + * Download the latest package release from [here](https://github.com/gnu-octave/statistics-resampling/releases/). Extract (not just browse) the contents of the compressed file (.zip or .tar.gz), and move the package directory to the desired location. * Open Octave or Matlab (command prompt). * Change directory (cd) into the package folder. (The directory contains a file called 'make.m' and 'install.m', among others) * Type `make` to compile the MEX files from source (or use the precompiled binaries if available. If suitable precompiled binaries are not available for your platform, then Matlab/Octave will need access to a C++11 compiler. Note that if you skip the make step, then the package functions will still work, but some will run slower. This step is interactive so check the command window.) diff --git a/docs/function/boot.html b/docs/function/boot.html index c874d2d1..f4a0d8e5 100644 --- a/docs/function/boot.html +++ b/docs/function/boot.html @@ -115,9 +115,9 @@

Demonstration 1

Produces the following output

ans =
 
-   3   1   1   2   3   3   2   1   2   2   3   1   3   1   3   1   1   3   3   3
-   2   2   3   3   1   1   3   1   2   1   1   2   2   2   2   2   3   3   2   3
-   1   2   1   3   1   1   1   1   2   2   3   1   3   2   2   2   3   1   2   3
+ 3 3 1 2 1 3 2 3 2 1 1 3 2 1 3 3 2 2 2 3 + 3 3 1 2 1 1 1 2 3 1 1 2 1 2 3 3 1 1 3 1 + 3 2 2 3 2 2 2 1 3 1 2 3 2 3 2 1 1 1 3 2

Demonstration 2

@@ -129,9 +129,9 @@

Demonstration 2

Produces the following output

ans =
 
-   3   3   1   2   3   1   2   1   2   2   1   1   3   1   2   2   3   1   1   1
-   3   3   2   3   3   2   2   1   2   2   1   2   3   1   2   3   3   2   3   1
-   3   1   1   2   3   2   3   1   1   3   3   2   3   1   2   3   1   2   1   2
+ 3 3 1 3 3 2 2 1 1 2 1 1 3 3 1 3 1 2 2 1 + 2 1 2 3 3 2 3 3 1 3 1 1 3 3 2 3 1 2 2 1 + 3 3 1 2 1 2 2 1 1 2 3 2 2 1 2 2 3 2 3 1

Demonstration 3

diff --git a/docs/function/boot1way.html b/docs/function/boot1way.html index cfcc6df7..32e59bdb 100644 --- a/docs/function/boot1way.html +++ b/docs/function/boot1way.html @@ -473,7 +473,7 @@

Demonstration 6

----------------------------------------------------------------------------- | Comparison | Test # | Ref # | Difference | t | p | |------------|------------|------------|------------|------------|----------| -| 1 | 2 | 1 | -0.3036 | -0.73 | .398 | +| 1 | 2 | 1 | -0.9135 | -2.67 | .026 |* ----------------------------------------------------------------------------- | GROUP # | GROUP label | N | @@ -518,7 +518,7 @@

Demonstration 7

----------------------------------------------------------------------------- | Comparison | Test # | Ref # | Difference | t | p | |------------|------------|------------|------------|------------|----------| -| 1 | 2 | 1 | +0.03654 | +0.05 | .945 | +| 1 | 2 | 1 | +0.08888 | +0.12 | .827 | ----------------------------------------------------------------------------- | GROUP # | GROUP label | N | diff --git a/docs/function/bootbayes.html b/docs/function/bootbayes.html index ef35635d..8a5654bf 100644 --- a/docs/function/bootbayes.html +++ b/docs/function/bootbayes.html @@ -186,7 +186,7 @@

Demonstration 1

Posterior Statistics: original bias median stdev CI_lower CI_upper - +184.5 +0.007511 +184.5 1.296 +182.1 +187.2 + +184.5 -0.002011 +184.5 1.331 +181.9 +187.1

Demonstration 2

@@ -222,8 +222,8 @@

Demonstration 2

Posterior Statistics: original bias median stdev CI_lower CI_upper - +175.5 +0.01716 +175.5 2.380 +170.5 +180.1 - +0.1904 -0.001915 +0.1901 0.07940 +0.02901 +0.3417 + +175.5 -0.03629 +175.4 2.438 +170.7 +180.2 + +0.1904 -0.0001636 +0.1918 0.08098 +0.03791 +0.3574

Package: statistics-resampling

diff --git a/docs/function/bootci.html b/docs/function/bootci.html index 7f009d79..58239950 100644 --- a/docs/function/bootci.html +++ b/docs/function/bootci.html @@ -183,8 +183,8 @@

Demonstration 1

Produces the following output

ci =
 
-   23.616
-   34.358
+ 23.540 + 34.574

Demonstration 2

@@ -202,8 +202,8 @@

Demonstration 2

Produces the following output

ci =
 
-   23.975
-   34.269
+ 23.886 + 34.390

Demonstration 3

@@ -222,8 +222,8 @@

Demonstration 3

Produces the following output

ci =
 
-   25.040
-   36.477
+ 24.710 + 37.094

Demonstration 4

@@ -239,8 +239,8 @@

Demonstration 4

Produces the following output

ci =
 
-    96.629
-   235.910
+ 96.788 + 237.389

Demonstration 5

@@ -256,8 +256,8 @@

Demonstration 5

Produces the following output

ci =
 
-   117.01
-   260.73
+ 116.08 + 263.28

Demonstration 6

@@ -276,8 +276,8 @@

Demonstration 6

Produces the following output

ci =
 
-   108.55
-   297.71
+ 116.56 + 293.82

Demonstration 7

@@ -296,8 +296,8 @@

Demonstration 7

Produces the following output

ci =
 
-   111.53
-   268.13
+ 112.32 + 280.18

Demonstration 8

@@ -317,8 +317,8 @@

Demonstration 8

Produces the following output

ci =
 
-   0.5050
-   0.8633
+ 0.5174 + 0.8637

Demonstration 9

diff --git a/docs/function/bootclust.html b/docs/function/bootclust.html index ffd0a7fa..d7ca772e 100644 --- a/docs/function/bootclust.html +++ b/docs/function/bootclust.html @@ -337,8 +337,8 @@

Demonstration 7

Bootstrap Statistics: original bias std_error CI_lower CI_upper - -0.2335 -0.001628 +0.2054 -0.5870 +0.09054 - +0.1101 +0.007670 +0.2271 -0.2454 +0.4870 + -0.2246 +0.03767 +0.2504 -0.6439 +0.1755 + -0.4531 +0.04160 +0.2805 -0.9408 -0.04681

Demonstration 8

@@ -364,8 +364,8 @@

Demonstration 8

Bootstrap Statistics: original bias std_error CI_lower CI_upper - +0.1900 +0.03519 +0.2267 -0.1441 +0.5321 - +0.04158 +0.03520 +0.3908 -0.5824 +0.6636 + -0.06381 -0.006020 +0.2844 -0.5015 +0.4408 + -0.2545 -0.01749 +0.2804 -0.6349 +0.2186

Demonstration 9

diff --git a/docs/function/bootknife.html b/docs/function/bootknife.html index 7d880851..32907e9f 100644 --- a/docs/function/bootknife.html +++ b/docs/function/bootknife.html @@ -425,8 +425,8 @@

Demonstration 8

Bootstrap Statistics: original bias std_error CI_lower CI_upper - +0.06241 -0.01650 +0.2452 -0.3228 +0.4692 - +0.1596 -0.0001629 +0.2018 -0.1352 +0.5346 + +0.0004216 +0.01043 +0.1768 -0.3131 +0.2727 + +0.3188 -0.01964 +0.2658 -0.2203 +0.6758

Demonstration 9

diff --git a/docs/function/bootlm.html b/docs/function/bootlm.html index 68124548..5a1761be 100644 --- a/docs/function/bootlm.html +++ b/docs/function/bootlm.html @@ -851,9 +851,9 @@

Demonstration 6

## Since the interaction term (F(1,18) = 0.42) was not significant (p > 0.1), ## we might rather consider the hypotheses tested using type II sums-of- ## squares without the interaction, which do not depend on the order and have - ## more power respectively. This is easy to achieve with 2 predictors, by - ## repeating the 'bootlm' commands with different predictors added last to - ## the model (as above) but without the interaction (i.e. setting 'model', + ## more power respectively. This is easy to achieve with only 2 predictors, + ## by repeating the 'bootlm' commands with different predictors added last to + ## the model (as above) but without any interaction (i.e. setting 'model', ## 'linear'). We then take the statistics for the last main effect listed ## in each of the ANOVA tables - these then correspond to the ANOVA test for ## the respective predictor with type II sums-of-squares. For example: diff --git a/docs/function/bootmode.html b/docs/function/bootmode.html index 6798f72c..941b2770 100644 --- a/docs/function/bootmode.html +++ b/docs/function/bootmode.html @@ -148,9 +148,9 @@

Demonstration 1

Produces the following output

ans = Summary of results:
 
-ans = H1 is 1 with p = 0 so reject the null hypothesisthat there is 1 mode
+ans = H1 is 1 with p = 0.0015 so reject the null hypothesisthat there is 1 mode
 
-ans = H2 is 0 with p = 0.312 so accept the null hypothesis that there are 2 modes
+ans = H2 is 0 with p = 0.329 so accept the null hypothesis that there are 2 modes

Package: statistics-resampling

diff --git a/docs/function/bootstrp.html b/docs/function/bootstrp.html index ebb54cbd..46b5d34a 100644 --- a/docs/function/bootstrp.html +++ b/docs/function/bootstrp.html @@ -104,58 +104,58 @@

Demonstration 1

Produces the following output

bootstat =
 
-   30.385
-   26.577
-   32.962
-   26.885
-   28.962
-   27.385
-   29.538
-   28.615
-   36.269
-   29.192
-   36.192
-   35.346
-   30.923
-   31.423
-   30.231
-   25.692
-   28.577
-   27.038
-   26.269
-   31.423
-   30.154
+   27.231
+   30.462
+   26.846
    29.654
-   28.577
-   32.154
+   31.154
+   29.769
+   30.308
+   31.231
+   30.731
+   31.000
+   27.692
+   29.346
+   29.923
+   34.731
+   26.462
+   29.269
+   28.308
+   28.115
+   27.231
    28.385
-   32.615
-   24.846
-   32.269
-   25.577
-   29.615
-   26.923
+   28.462
    27.038
-   26.731
-   33.923
-   31.962
-   26.538
-   26.846
-   29.769
-   27.000
-   26.731
-   29.231
-   30.885
-   31.077
+   28.385
+   28.962
+   25.808
+   27.615
+   32.269
+   31.231
+   36.231
+   35.538
+   28.692
    30.000
-   29.115
-   31.769
-   32.423
-   30.692
-   29.231
-   31.077
-
-ans = 2.7164
+ 31.615 + 29.423 + 28.846 + 26.000 + 31.231 + 35.423 + 27.615 + 28.538 + 27.385 + 30.769 + 26.462 + 25.192 + 33.769 + 27.846 + 32.462 + 31.538 + 30.885 + 29.615 + +ans = 2.5580

Package: statistics-resampling

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z;5;cSFFy&_*mRvgZIj;dAMpkQCP?vxvNgqiRxjo>~S&RdT>*qr4JQ|M8x* zL*evCgFUzGSyA&617!Ck(sXZ3d1o1>Z>d>$lh-Z^+OeDQ(V&FWWoPN{HP+gXd&lqC zx9!e%uUTlB6Mm9@kgd<|&{tlZZvm_XvCD0t9LW=hKVVEjRxDQ?JUv`ACFpH-sl>i0 zjcT;eq&sE_^69#?gqWBcJpag|$Bd0(QAPg8-C0w}#zSYsV$%9tdWa`Pr*qv7ZHg=< z`zuh0g+)bhVxFBE`aGTg7}Xyc8jTphPNS8^4<~F)Jf!>j61UNAQm$E}&Uc8@p0`jO z$D6@v4&-loegk)RN6hjkfJ$=|TdaqP<1kZZ1FRu$!byhCb{waGb+fdgQUkz5Mg{)Qp#9gEL1?LYV& zSrvYkSazZSJzPHAU(Y}wIXM3s;Kh-blOs|ik`3;%#B(~E29AP_fUyPEIoQWe01BAl zK@P#v=jG>vJrjwkMdHTvB2Te*0nLv6`)3e8kS)(FE@pT?twq$#^Oj?`3bej6tGHyKx157_dxZcWN(L{keqz#uuRequirements and Machine Learning Toolbox (in Matlab).

Installation

-

To install (or test) the statistics-resampling package at it’s -existing location in either Octave or Matlab, follow these steps:

+

To install (or test) the statistics-resampling package at a location +of your choice, follow these steps:

    -
  • Download the package release from Download the latest package release from here. -If it is a compressed file (.zip or .tar.gz), extract it’s contents and -move the package directory to the desired location.
  • +Extract (not just browse) the contents of the compressed file (.zip or +.tar.gz), and move the package directory to the desired location.
  • Open Octave or Matlab (command prompt).
  • Change directory (cd) into the package folder. (The directory contains a file called ‘make.m’ and ‘install.m’, among others)
  • diff --git a/make.m b/make.m index 634ba705..11019c65 100755 --- a/make.m +++ b/make.m @@ -72,19 +72,19 @@ % Attemt to compile binaries from source code automatically if no suitable binaries can be found if binary - fprintf('The following suitable binaries were detected and copied over to the inst directory: '); - fprintf('\n%s%s%s%s%s', '.', filesep, binary_paths{~cellfun(@isempty,arch_idx)}, 'boot.', mexext); - fprintf('\n%s%s%s%s%s', '.', filesep, binary_paths{~cellfun(@isempty,arch_idx)}, 'smoothmedian.', mexext); + fprintf ('The following suitable binaries were detected and copied over to the inst directory: '); + fprintf ('\n%s%s%s%s%s', '.', filesep, binary_paths{~cellfun(@isempty,arch_idx)}, 'boot.', mexext); + fprintf ('\n%s%s%s%s%s', '.', filesep, binary_paths{~cellfun(@isempty,arch_idx)}, 'smoothmedian.', mexext); else - disp('Either you chose to compile from source, or no binaries are suitable.'); - disp('Attempting to compile the source code...'); + disp ('Either you chose to compile from source, or no binaries are suitable.'); + disp ('Attempting to compile the source code...'); if isoctave try mkoctfile -std=c++11 --mex --output ./inst/boot ./src/boot.cpp catch errflag = true; err = lasterror(); - disp(err.message); + disp (err.message); warning ('Could not compile boot.%s. Falling back to the (slower) boot.m file.',mexext) end try @@ -108,7 +108,7 @@ catch errflag = true; err = lasterror(); - disp(err.message); + disp (err.message); warning ('Could not compile boot.%s. Falling back to the (slower) boot.m file.',mexext) end try @@ -116,16 +116,20 @@ catch errflag = true; err = lasterror(); - disp(err.message); + disp (err.message); warning ('Could not compile smoothmedian.%s. Falling back to the (slower) smoothmedian.m file.',mexext) end end end if errflag - fprintf('\nmake completed with errors. Please review the details in the errors in the above output. \n') - fprintf('If you now execute ''install'', .m files equivalent to the mex files will be used instead. \n') + fprintf ('\nmake completed with errors. Please review the details in the errors in the above output. \n') + fprintf ('It is possible that a suitable c++ compiler is not installed or been configured properly. \n') + if (~ isoctave) + fprintf ('Try running ''mex -setup c++'' and following the instructions. \n') + end + fprintf ('If you now execute ''install'', .m files equivalent to the mex files will be used instead. \n') else - fprintf('\n''make'' completed successfully. Please now run the ''install'' command. \n') + fprintf ('\n''make'' completed successfully. Please now run the ''install'' command. \n') end clear arch arch_idx binary binary_paths comp endian info isoctave maxsize errflag retval