From 002017127beccb39379a70a341e1364526c840cb Mon Sep 17 00:00:00 2001 From: Jeffrey Girard Date: Tue, 7 Aug 2018 11:53:08 -0400 Subject: [PATCH] Update pkgdown --- docs/articles/intermediate-ssm-analysis.html | 184 +++++++++--------- .../figure-html/amax-1.png | Bin 19613 -> 19602 bytes .../figure-html/custom-1.png | Bin 17982 -> 18832 bytes .../figure-html/general_plot-1.png | Bin 23853 -> 23940 bytes .../figure-html/group_contrast_plot-1.png | Bin 18581 -> 19654 bytes .../figure-html/group_plot-1.png | Bin 19359 -> 19351 bytes .../figure-html/lowfit-1.png | Bin 26630 -> 26816 bytes .../figure-html/measure_contrast_plot-1.png | Bin 19928 -> 19919 bytes .../figure-html/measures_plot-1.png | Bin 19953 -> 19988 bytes .../figure-html/model_plot-1.png | Bin 19495 -> 19464 bytes .../figure-html/unnamed-chunk-10-1.png | Bin 26393 -> 0 bytes .../figure-html/unnamed-chunk-13-1.png | Bin 19291 -> 0 bytes .../figure-html/unnamed-chunk-16-1.png | Bin 19659 -> 0 bytes .../figure-html/unnamed-chunk-19-1.png | Bin 18788 -> 0 bytes .../figure-html/unnamed-chunk-22-1.png | Bin 19387 -> 0 bytes .../figure-html/unnamed-chunk-23-1.png | Bin 17265 -> 0 bytes .../figure-html/unnamed-chunk-3-1.png | Bin 19348 -> 0 bytes .../figure-html/unnamed-chunk-6-1.png | Bin 19883 -> 0 bytes .../figure-html/unnamed-chunk-9-1.png | Bin 24992 -> 0 bytes .../introduction-to-ssm-analysis.html | 42 ++-- .../figure-html/column-1.png | Bin 17430 -> 17461 bytes .../figure-html/curve-1.png | Bin 21231 -> 21133 bytes .../figure-html/path-1.png | Bin 20138 -> 20109 bytes .../figure-html/plot1-1.png | Bin 18233 -> 18244 bytes .../figure-html/plot2-1.png | Bin 19056 -> 19051 bytes .../figure-html/residuals-1.png | Bin 19199 -> 19191 bytes .../figure-html/unnamed-chunk-1-1.png | Bin 13938 -> 0 bytes .../figure-html/unnamed-chunk-10-1.png | Bin 22913 -> 0 bytes .../figure-html/unnamed-chunk-15-1.png | Bin 18253 -> 0 bytes .../figure-html/unnamed-chunk-18-1.png | Bin 18989 -> 0 bytes .../figure-html/unnamed-chunk-2-1.png | Bin 17075 -> 0 bytes .../figure-html/unnamed-chunk-3-1.png | Bin 19765 -> 0 bytes .../figure-html/unnamed-chunk-4-1.png | Bin 20956 -> 0 bytes .../figure-html/unnamed-chunk-5-1.png | Bin 18931 -> 0 bytes docs/index.html | 2 +- docs/reference/figures/README-plot-1.png | Bin 21947 -> 22024 bytes man/figures/README-plot-1.png | Bin 21947 -> 22024 bytes 37 files changed, 114 insertions(+), 114 deletions(-) delete mode 100644 docs/articles/intermediate-ssm-analysis_files/figure-html/unnamed-chunk-10-1.png delete mode 100644 docs/articles/intermediate-ssm-analysis_files/figure-html/unnamed-chunk-13-1.png delete mode 100644 docs/articles/intermediate-ssm-analysis_files/figure-html/unnamed-chunk-16-1.png delete mode 100644 docs/articles/intermediate-ssm-analysis_files/figure-html/unnamed-chunk-19-1.png delete mode 100644 docs/articles/intermediate-ssm-analysis_files/figure-html/unnamed-chunk-22-1.png delete mode 100644 docs/articles/intermediate-ssm-analysis_files/figure-html/unnamed-chunk-23-1.png delete mode 100644 docs/articles/intermediate-ssm-analysis_files/figure-html/unnamed-chunk-3-1.png delete mode 100644 docs/articles/intermediate-ssm-analysis_files/figure-html/unnamed-chunk-6-1.png delete mode 100644 docs/articles/intermediate-ssm-analysis_files/figure-html/unnamed-chunk-9-1.png delete mode 100644 docs/articles/introduction-to-ssm-analysis_files/figure-html/unnamed-chunk-1-1.png delete mode 100644 docs/articles/introduction-to-ssm-analysis_files/figure-html/unnamed-chunk-10-1.png delete mode 100644 docs/articles/introduction-to-ssm-analysis_files/figure-html/unnamed-chunk-15-1.png delete mode 100644 docs/articles/introduction-to-ssm-analysis_files/figure-html/unnamed-chunk-18-1.png delete mode 100644 docs/articles/introduction-to-ssm-analysis_files/figure-html/unnamed-chunk-2-1.png delete mode 100644 docs/articles/introduction-to-ssm-analysis_files/figure-html/unnamed-chunk-3-1.png delete mode 100644 docs/articles/introduction-to-ssm-analysis_files/figure-html/unnamed-chunk-4-1.png delete mode 100644 docs/articles/introduction-to-ssm-analysis_files/figure-html/unnamed-chunk-5-1.png diff --git a/docs/articles/intermediate-ssm-analysis.html b/docs/articles/intermediate-ssm-analysis.html index 07d126f1..e2746d77 100644 --- a/docs/articles/intermediate-ssm-analysis.html +++ b/docs/articles/intermediate-ssm-analysis.html @@ -119,18 +119,18 @@

#> Estimate Lower CI Upper CI #> Elevation 0.946 0.909 0.984 #> X-Value 0.459 0.421 0.499 -#> Y-Value -0.310 -0.355 -0.269 -#> Amplitude 0.554 0.511 0.599 -#> Displacement 325.963 322.044 329.746 +#> Y-Value -0.310 -0.354 -0.268 +#> Amplitude 0.554 0.510 0.599 +#> Displacement 325.963 321.954 329.824 #> Model Fit 0.889 #> #> Profile [Male]: #> Estimate Lower CI Upper CI -#> Elevation 0.884 0.842 0.927 -#> X-Value 0.227 0.193 0.260 -#> Y-Value -0.186 -0.224 -0.147 -#> Amplitude 0.294 0.256 0.331 -#> Displacement 320.685 314.036 327.706 +#> Elevation 0.884 0.841 0.926 +#> X-Value 0.227 0.192 0.262 +#> Y-Value -0.186 -0.224 -0.148 +#> Amplitude 0.294 0.258 0.331 +#> Displacement 320.685 313.842 327.685 #> Model Fit 0.824

Note that the output of summary() looks the same as previous mean-based analyses except that there are now two Profile blocks: one for Female and one for Male. A similar modification will occur if we generate a table and figure.

ssm_table(results)
@@ -173,13 +173,13 @@

0.46 [0.42, 0.50] --0.31 [-0.36, -0.27] +-0.31 [-0.35, -0.27] 0.55 [0.51, 0.60] -326.0 [322.0, 329.7] +326.0 [322.0, 329.8] 0.889 @@ -202,7 +202,7 @@

0.29 [0.26, 0.33] -320.7 [314.0, 327.7] +320.7 [313.8, 327.7] 0.824 @@ -233,19 +233,19 @@

#> Profile [NARPD]: #> Estimate Lower CI Upper CI #> Elevation 0.202 0.169 0.236 -#> X-Value -0.062 -0.094 -0.029 -#> Y-Value 0.179 0.145 0.212 +#> X-Value -0.062 -0.094 -0.027 +#> Y-Value 0.179 0.146 0.213 #> Amplitude 0.189 0.156 0.224 -#> Displacement 108.967 99.154 118.780 +#> Displacement 108.967 98.957 118.754 #> Model Fit 0.957 #> #> Profile [ASPD]: #> Estimate Lower CI Upper CI -#> Elevation 0.124 0.089 0.160 -#> X-Value -0.099 -0.133 -0.064 -#> Y-Value 0.203 0.169 0.237 -#> Amplitude 0.226 0.190 0.262 -#> Displacement 115.927 107.467 123.930 +#> Elevation 0.124 0.090 0.161 +#> X-Value -0.099 -0.136 -0.064 +#> Y-Value 0.203 0.168 0.237 +#> Amplitude 0.226 0.189 0.263 +#> Displacement 115.927 107.606 124.254 #> Model Fit 0.964
ssm_table(results2)
@@ -293,7 +293,7 @@

0.19 [0.16, 0.22]

-109.0 [99.2, 118.8] +109.0 [99.0, 118.8] 0.957 @@ -307,7 +307,7 @@

0.12 [0.09, 0.16]

--0.10 [-0.13, -0.06] +-0.10 [-0.14, -0.06] 0.20 [0.17, 0.24] @@ -316,7 +316,7 @@

0.23 [0.19, 0.26]

-115.9 [107.5, 123.9] +115.9 [107.6, 124.3] 0.964 @@ -346,56 +346,56 @@

#> #> Profile [Female_PARPD]: #> Estimate Lower CI Upper CI -#> Elevation 0.262 0.219 0.303 -#> X-Value -0.146 -0.189 -0.100 -#> Y-Value 0.120 0.071 0.170 -#> Amplitude 0.189 0.140 0.239 -#> Displacement 140.524 127.126 155.262 +#> Elevation 0.262 0.220 0.301 +#> X-Value -0.146 -0.193 -0.103 +#> Y-Value 0.120 0.067 0.172 +#> Amplitude 0.189 0.140 0.247 +#> Displacement 140.524 127.592 154.938 #> Model Fit 0.870 #> #> Profile [Female_SCZPD]: #> Estimate Lower CI Upper CI -#> Elevation 0.177 0.131 0.221 -#> X-Value -0.230 -0.289 -0.173 -#> Y-Value -0.047 -0.103 0.012 -#> Amplitude 0.235 0.186 0.290 -#> Displacement 191.613 177.411 207.389 +#> Elevation 0.177 0.132 0.219 +#> X-Value -0.230 -0.288 -0.174 +#> Y-Value -0.047 -0.104 0.010 +#> Amplitude 0.235 0.185 0.290 +#> Displacement 191.613 177.717 207.854 #> Model Fit 0.845 #> #> Profile [Female_SZTPD]: #> Estimate Lower CI Upper CI -#> Elevation 0.237 0.194 0.279 -#> X-Value -0.130 -0.175 -0.083 -#> Y-Value 0.016 -0.037 0.066 -#> Amplitude 0.131 0.087 0.179 -#> Displacement 172.870 151.993 197.006 +#> Elevation 0.237 0.194 0.278 +#> X-Value -0.130 -0.176 -0.082 +#> Y-Value 0.016 -0.035 0.069 +#> Amplitude 0.131 0.086 0.180 +#> Displacement 172.870 151.923 197.847 #> Model Fit 0.812 #> #> Profile [Male_PARPD]: #> Estimate Lower CI Upper CI -#> Elevation 0.243 0.191 0.291 -#> X-Value -0.035 -0.081 0.012 -#> Y-Value 0.114 0.065 0.162 -#> Amplitude 0.120 0.072 0.167 -#> Displacement 106.881 83.444 130.020 +#> Elevation 0.243 0.195 0.291 +#> X-Value -0.035 -0.078 0.011 +#> Y-Value 0.114 0.066 0.163 +#> Amplitude 0.120 0.074 0.169 +#> Displacement 106.881 84.568 130.067 #> Model Fit 0.648 #> #> Profile [Male_SCZPD]: #> Estimate Lower CI Upper CI -#> Elevation 0.204 0.143 0.259 -#> X-Value -0.178 -0.226 -0.136 -#> Y-Value -0.017 -0.072 0.038 -#> Amplitude 0.179 0.139 0.228 -#> Displacement 185.351 168.350 202.748 +#> Elevation 0.204 0.148 0.257 +#> X-Value -0.178 -0.220 -0.133 +#> Y-Value -0.017 -0.071 0.037 +#> Amplitude 0.179 0.137 0.224 +#> Displacement 185.351 168.809 203.268 #> Model Fit 0.917 #> #> Profile [Male_SZTPD]: #> Estimate Lower CI Upper CI -#> Elevation 0.240 0.185 0.290 -#> X-Value -0.037 -0.083 0.008 -#> Y-Value 0.029 -0.022 0.078 -#> Amplitude 0.047 0.012 0.102 -#> Displacement 142.345 72.515 223.831 +#> Elevation 0.240 0.185 0.288 +#> X-Value -0.037 -0.085 0.009 +#> Y-Value 0.029 -0.020 0.078 +#> Amplitude 0.047 0.011 0.102 +#> Displacement 142.345 68.265 225.073 #> Model Fit 0.424
ssm_table(results3)
@@ -440,10 +440,10 @@

0.12 [0.07, 0.17]

-0.19 [0.14, 0.24] +0.19 [0.14, 0.25] -140.5 [127.1, 155.3] +140.5 [127.6, 154.9] 0.870 @@ -466,7 +466,7 @@

0.23 [0.19, 0.29]

-191.6 [177.4, 207.4] +191.6 [177.7, 207.9] 0.845 @@ -480,7 +480,7 @@

0.24 [0.19, 0.28]

--0.13 [-0.17, -0.08] +-0.13 [-0.18, -0.08] 0.02 [-0.04, 0.07] @@ -489,7 +489,7 @@

0.13 [0.09, 0.18]

-172.9 [152.0, 197.0] +172.9 [151.9, 197.8] 0.812 @@ -506,13 +506,13 @@

-0.03 [-0.08, 0.01]

-0.11 [0.06, 0.16] +0.11 [0.07, 0.16] 0.12 [0.07, 0.17] -106.9 [83.4, 130.0] +106.9 [84.6, 130.1] 0.648 @@ -523,19 +523,19 @@

Male_SCZPD

-0.20 [0.14, 0.26] +0.20 [0.15, 0.26] --0.18 [-0.23, -0.14] +-0.18 [-0.22, -0.13] -0.02 [-0.07, 0.04] -0.18 [0.14, 0.23] +0.18 [0.14, 0.22] -185.4 [168.3, 202.7] +185.4 [168.8, 203.3] 0.917 @@ -558,7 +558,7 @@

0.05 [0.01, 0.10]

-142.3 [72.5, 223.8] +142.3 [68.3, 225.1] 0.424 @@ -571,7 +571,7 @@

#> #> Hint: You can force these profiles to plot by setting the 'lowfit' argument to TRUE.

-

Note that, as indicated by the warning, several profiles were not plotted due to having low prototypicality (fit < 0.70). Because a profile with low fit will not be very trustworthy, it could be misleading to plot its parameter estimates. If you want to override this, you can add lowfit = TRUE to the function call (not recommended).

+

Note that, as indicated by the warning, several profiles were not plotted due to having low prototypicality (fit < 0.70). Because a profile with low fit will not be very trustworthy, it could be misleading to plot its parameter estimates. If you want to override this, you can add lowfit = TRUE to the function call; the poor-fitting profiles will then be plotted with dashed borders.

ssm_plot(results3, lowfit = TRUE)

@@ -599,11 +599,11 @@

#> #> Contrast [Male - Female]: #> Estimate Lower CI Upper CI -#> Elevation -0.062 -0.118 -0.007 -#> X-Value -0.232 -0.286 -0.181 -#> Y-Value 0.124 0.066 0.184 -#> Amplitude 0.263 0.207 0.323 -#> Displacement 151.858 140.072 164.122 +#> Elevation -0.062 -0.118 -0.003 +#> X-Value -0.232 -0.283 -0.174 +#> Y-Value 0.124 0.064 0.178 +#> Amplitude 0.263 0.206 0.319 +#> Displacement 151.858 140.464 164.418 #> Model Fit 0.855

Note that the profile blocks we are used to have been replaced by a contrast block. By default, the contrast is made by subtracting the first level of the grouping variable from the second level (e.g., Male - Female). This provides an indication of the direction of the contrast. We can again generate a table and figure to display the results. Note that, because we used a model contrast, the figure will be a circular figure and not a contrast figure which we will see below. However, we would get a contrast figure if we used a parameter contrast.

ssm_table(results4)
@@ -639,19 +639,19 @@

Male - Female

--0.06 [-0.12, -0.01] +-0.06 [-0.12, -0.00] --0.23 [-0.29, -0.18] +-0.23 [-0.28, -0.17] -0.12 [0.07, 0.18] +0.12 [0.06, 0.18] 0.26 [0.21, 0.32] -151.9 [140.1, 164.1] +151.9 [140.5, 164.4] 0.855 @@ -680,11 +680,11 @@

#> #> Contrast [ASPD - NARPD]: #> Estimate Lower CI Upper CI -#> Elevation -0.079 -0.116 -0.042 -#> X-Value -0.037 -0.074 0.002 -#> Y-Value 0.024 -0.011 0.063 +#> Elevation -0.079 -0.118 -0.043 +#> X-Value -0.037 -0.076 -0.001 +#> Y-Value 0.024 -0.011 0.062 #> Amplitude 0.037 0.000 0.076 -#> Displacement 6.960 -3.405 17.053 +#> Displacement 6.960 -2.642 17.590 #> Model Fit 0.007
ssm_table(results5)
@@ -722,7 +722,7 @@

-0.08 [-0.12, -0.04]

--0.04 [-0.07, 0.00] +-0.04 [-0.08, -0.00] 0.02 [-0.01, 0.06] @@ -731,7 +731,7 @@

0.04 [-0.00, 0.08]

-7.0 [-3.4, 17.1] +7.0 [-2.6, 17.6] 0.007 @@ -761,11 +761,11 @@

#> #> Contrast [BORPD: Male - Female]: #> Estimate Lower CI Upper CI -#> Elevation 0.069 0.001 0.139 -#> X-Value 0.080 0.016 0.144 -#> Y-Value -0.072 -0.156 0.008 -#> Amplitude -0.088 -0.164 -0.006 -#> Displacement -40.880 -108.800 22.431 +#> Elevation 0.069 0.001 0.137 +#> X-Value 0.080 0.016 0.149 +#> Y-Value -0.072 -0.148 0.007 +#> Amplitude -0.088 -0.158 -0.006 +#> Displacement -40.880 -116.006 24.686 #> Model Fit -0.447
ssm_table(results6)
@@ -803,16 +803,16 @@

0.07 [0.00, 0.14]

-0.08 [0.02, 0.14] +0.08 [0.02, 0.15] --0.07 [-0.16, 0.01] +-0.07 [-0.15, 0.01] -0.09 [-0.16, -0.01] --40.9 [-108.8, 22.4] +-40.9 [-116.0, 24.7] -0.447 @@ -1028,13 +1028,13 @@

All

-0.92 [0.89, 0.95] +0.92 [0.89, 0.94] 0.43 [0.40, 0.46] -324.3 [320.6, 328.0] +324.3 [320.6, 327.9] 0.878 @@ -1051,7 +1051,7 @@

0.55 [0.51, 0.60]

-326.0 [322.1, 329.9] +326.0 [321.9, 329.9] 0.889 @@ -1068,7 +1068,7 @@

0.29 [0.26, 0.33]

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E1v+5c>i_@% diff --git a/docs/articles/introduction-to-ssm-analysis.html b/docs/articles/introduction-to-ssm-analysis.html index 2a4a2dd6..eb07ae45 100644 --- a/docs/articles/introduction-to-ssm-analysis.html +++ b/docs/articles/introduction-to-ssm-analysis.html @@ -181,11 +181,11 @@

#> #> Profile [All]: #> Estimate Lower CI Upper CI -#> Elevation 0.917 0.889 0.944 -#> X-Value 0.351 0.323 0.379 -#> Y-Value -0.252 -0.283 -0.223 -#> Amplitude 0.432 0.403 0.464 -#> Displacement 324.292 320.622 327.908 +#> Elevation 0.917 0.889 0.946 +#> X-Value 0.351 0.324 0.378 +#> Y-Value -0.252 -0.283 -0.224 +#> Amplitude 0.432 0.402 0.465 +#> Displacement 324.292 320.774 327.702 #> Model Fit 0.878

That was pretty easy! We can now write up these results. However, the circumplex package has some features that can make what we just did even easier. First, because the first three arguments of the ssm_analyze() function are always the same, we can omit their names. Second, because we organized the jz2017 data frame to have the circumplex scale variables adjacent and in order from PA to NO, we can simplify their specification by using the PA:NO shortcut. Finally, because the use of octant scales is so common, the circumplex package comes with a convenience function for outputing their angular displacements: octants(). Note how, even when using these shortcuts, the results are the same except for minor stochastic differences in the confidence intervals due to the randomness inherent to bootstrapping. (To get the exact same results, we could use the set.seed() function to control the random number generator in R.)

@@ -245,7 +245,7 @@

All

-0.92 [0.89, 0.95] +0.92 [0.89, 0.94] 0.35 [0.32, 0.38] @@ -257,7 +257,7 @@

0.43 [0.40, 0.46]

-324.3 [320.8, 327.7] +324.3 [320.9, 327.8] 0.878 @@ -292,11 +292,11 @@

#> #> Profile [NARPD]: #> Estimate Lower CI Upper CI -#> Elevation 0.202 0.171 0.237 -#> X-Value -0.062 -0.096 -0.028 -#> Y-Value 0.179 0.148 0.211 -#> Amplitude 0.189 0.157 0.223 -#> Displacement 108.967 99.316 118.731 +#> Elevation 0.202 0.170 0.236 +#> X-Value -0.062 -0.094 -0.029 +#> Y-Value 0.179 0.142 0.212 +#> Amplitude 0.189 0.154 0.224 +#> Displacement 108.967 99.193 118.698 #> Model Fit 0.957

Note that this output looks very similar to the mean-based output except that the statistical basis is now correlation scores instead of mean scores and instead of saying “Profile [All]” it now says “Profile [NARPD]”.

@@ -340,16 +340,16 @@

0.20 [0.17, 0.24]

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Overview

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The goal of circumplex is to provide a powerful, flexible, and user-friendly way to analyze and visualize circumplex data. It was created and is maintained by Jeffrey Girard, and was inspired by work from and was developed in conjunction with Johannes Zimmermann and Aidan Wright. You can learn more about using this package to perform the Structural Summary Method (SSM) in vignette("ssm-introduction") and vignette("ssm-intermediate"). You can purchase stickers with the circumplex logo at redbubble.com.

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The goal of circumplex is to provide a powerful, flexible, and user-friendly way to analyze and visualize circumplex data. It was created and is maintained by Jeffrey Girard, and was inspired by work from and was developed in conjunction with Johannes Zimmermann and Aidan Wright. You can learn more about using this package to perform the Structural Summary Method (SSM) in vignette("ssm-introduction") and vignette("ssm-intermediate"). You can purchase stickers and other merchandise with the circumplex logo at redbubble.com.