{"id":863,"date":"2026-02-13T00:54:28","date_gmt":"2026-02-12T15:54:28","guid":{"rendered":"http:\/\/waurimal.kr\/?p=863"},"modified":"2026-02-13T00:57:09","modified_gmt":"2026-02-12T15:57:09","slug":"chap17-%ed%8f%89%ed%99%9c%ed%99%94-%eb%b0%8f-%ec%a4%80%eb%aa%a8%ec%88%98-%eb%aa%a8%ed%98%95smoothing-and-semiparametric-models","status":"publish","type":"post","link":"http:\/\/waurimal.kr\/?p=863","title":{"rendered":"Chap17.\ud3c9\ud65c\ud654 \ubc0f \uc900\ubaa8\uc218 \ubaa8\ud615(Smoothing and Semiparametric Models)"},"content":{"rendered":"\n<p>\uc548\ub155\ud558\uc138\uc694!<\/p>\n\n\n\n<p>\uc624\ub298\uc740 <strong>\uc900\uac1c\ubcc4\ud654\ub41c \ud559\uc2b5 \uc131\uc7a5 \uace1\uc120: \uc900\ubaa8\uc218 \ud63c\ud569 \ud6a8\uacfc \ubaa8\ub378(Semiparametric Mixed-Effects Models)<\/strong>\uc5d0 \ub300\ud574 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \u201c\ud559\uad50 \ud604\uc7a5\uc758 \ub370\uc774\ud130\u201d\ub97c \uc608\uc2dc\ub85c \ub4e4\uc5b4 \uc9c1\uad00\uc801\uc778 \uc124\uba85\uacfc \uc218\ub9ac\uc801 \uc5c4\ubc00\ud568\uc744 \ubaa8\ub450 \uac16\ucd98 \ud615\ud0dc\ub85c \uc7ac\uad6c\uc131\ud574 \ub4dc\ub9ac\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\ubd84\uc11d \ub3c4\uad6c\ub85c\ub294 <strong>jamovi<\/strong>\uc758 \uc0ac\uc6a9\ubc95\uc744 \uc124\uba85\ud558\ub418, jamovi\uc758 \uae30\ubc18\uc774 \ub418\ub294 <strong>R<\/strong> \ucf54\ub4dc\ub97c \ud568\uaed8 \uc81c\uc2dc\ud558\uc5ec \ubaa8\uc758 \ub370\uc774\ud130 \uc0dd\uc131\ubd80\ud130 \ubd84\uc11d, \uc2dc\uac01\ud654\uae4c\uc9c0 \uc644\ubcbd\ud558\uac8c \uad6c\ud604\ud574 \ub4dc\ub9ac\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">1. \ub4e4\uc5b4\uac00\uba70: \uc65c &#8216;\uc900\ubaa8\uc218&#8217; \ubaa8\ub378\uc774 \ud544\uc694\ud55c\uac00\uc694?<\/h2>\n\n\n\n<p id=\"p-rc_1f17130e8fca643d-47\">\ud559\uad50\uc5d0\uc11c \ud559\uc0dd\ub4e4\uc758 \uc131\uc801\uc774\ub098 \uc2ec\ub9ac\uc801 \ubcc0\ud654\ub97c \ucd94\uc801\ud558\ub294 <strong>\uc885\ub2e8\uc801 \uc5f0\uad6c(Longitudinal Study)<\/strong>\ub97c \ud558\ub2e4 \ubcf4\uba74, \ub370\uc774\ud130\uac00 \uc6b0\ub9ac\uac00 \uc0dd\uac01\ud558\ub294 \uc608\uc05c \uc9c1\uc120\uc774\ub098 \ub2e8\uc21c\ud55c \uace1\uc120(2\ucc28 \ud568\uc218 \ub4f1)\uc744 \ub530\ub974\uc9c0 \uc54a\uc744 \ub54c\uac00 \ub9ce\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\ubaa8\uc218 \ubaa8\ub378(Parametric Models):<\/strong> \uc9c1\uc120\uc774\ub098 \ud3ec\ubb3c\uc120\ucc98\ub7fc \uc2dd\uc744 \ub531 \uc815\ud574\ub193\uace0 \ubd84\uc11d\ud569\ub2c8\ub2e4. \uc124\uba85\uc774 \uac04\uacb0\ud558\uc9c0\ub9cc, \uc2e4\uc81c \ub370\uc774\ud130\uac00 \uadf8 \ubaa8\uc591\uc774 \uc544\ub2c8\uba74 \ud3b8\ud5a5\ub41c \uacb0\uacfc\uac00 \ub098\uc635\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\ube44\ubaa8\uc218 \ubaa8\ub378(Nonparametric Models):<\/strong> \ub370\uc774\ud130\uac00 \uc0dd\uae34 \ubaa8\uc591 \uadf8\ub300\ub85c\ub97c \uc720\uc5f0\ud558\uac8c \ub530\ub77c\uac11\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \uc218\uc2dd\uc774 \ub108\ubb34 \ubcf5\uc7a1\ud574\uc11c \ud574\uc11d\ud558\uae30\uac00 \uc5b4\ub835\uc2b5\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\uc900\ubaa8\uc218 \ubaa8\ub378(Semiparametric Models):<\/strong> \uc774 \ub458\uc758 \uc7a5\uc810\ub9cc \ud569\uce5c \uac83\uc785\ub2c8\ub2e4. \uc911\uc694\ud55c \uc601\ud5a5 \uc694\uc778(\uc608: \uc131\ubcc4, \uae30\ucd08\ud559\ub825)\uc740 \uc218\uce58\ub85c \uae54\ub054\ud558\uac8c \ubd84\uc11d\ud558\uace0, \ubcf5\uc7a1\ud558\uac8c \ubcc0\ud558\ub294 \uc2dc\uac04\uc5d0 \ub530\ub978 \ubcc0\ud654\ub7c9\uc740 \uc720\uc5f0\ud558\uac8c \uace1\uc120\uc73c\ub85c \uadf8\ub824\ub0c5\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">2. \uc2dc\ub098\ub9ac\uc624: &#8220;\ucc3d\uc758\uc801 \ubb38\uc81c\ud574\uacb0\ub825 \uc2e0\uc7a5 \ud504\ub85c\uadf8\ub7a8&#8221;<\/h2>\n\n\n\n<p>\ud55c \ucd08\ub4f1\ud559\uad50\uc5d0\uc11c 200\uba85\uc758 \ud559\uc0dd\uc744 \ub300\uc0c1\uc73c\ub85c 2\ub144\uac04 8\ucc28\ub840\uc5d0 \uac78\uccd0 <strong>&#8216;\ucc3d\uc758\uc801 \ubb38\uc81c\ud574\uacb0\ub825&#8217;<\/strong> \uc810\uc218\ub97c \uce21\uc815\ud588\ub2e4\uace0 \uac00\uc815\ud574 \ubd05\uc2dc\ub2e4.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\uace0\uc815 \ud6a8\uacfc(\uc911\uc694 \uc694\uc778):<\/strong> \uc131\ubcc4(Gender), \ud504\ub85c\uadf8\ub7a8 \ucc38\uc5ec \uc804 \uae30\ucd08 \uc5ed\ub7c9(Pre-Score).<\/li>\n\n\n\n<li><strong>\ubcf5\uc7a1\ud55c \ubcc0\ud654:<\/strong> \ud559\uc0dd\ub4e4\uc758 \uc131\uc7a5\uc740 \ud559\uae30 \ucd08, \ubc29\ud559, \uc2dc\ud5d8 \uae30\uac04 \ub4f1\uc5d0 \ub530\ub77c \ub2e8\uc21c\ud788 \uc9c1\uc120\uc73c\ub85c \uc0c1\uc2b9\ud558\uc9c0 \uc54a\uace0 \uc6b8\ud241\ubd88\ud241\ud558\uac8c \ubcc0\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\uac1c\uc778\ucc28:<\/strong> \ud559\uc0dd\ub9c8\ub2e4 \uc131\uc7a5\ud558\ub294 \uc18d\ub3c4\uc640 \ud328\ud134\uc774 \ub2e4\ub985\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n<p id=\"p-rc_1f17130e8fca643d-51\">\uc774 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uae30 \uc704\ud55c <strong>\uc77c\ubc18\uc801\uc778 SPME(Semiparametric Mixed-Effects) \ubaa8\ub378<\/strong> \uc2dd\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4<sup><\/sup>:<\/p>\n\n\n\n<p><math data-latex=\"y_{ij} = x_{ij}'\\beta + \\eta(t_{ij}) + z_{ij}'u_i + v_i(t_{ij}) + \\epsilon_{ij}\"><semantics><mrow><msub><mi>y<\/mi><mrow><mi>i<\/mi><mi>j<\/mi><\/mrow><\/msub><mo>=<\/mo><msubsup><mi>x<\/mi><mrow><mi>i<\/mi><mi>j<\/mi><\/mrow><mo lspace=\"0em\" rspace=\"0em\" class=\"tml-prime\">\u2032<\/mo><\/msubsup><mi>\u03b2<\/mi><mo>+<\/mo><mi>\u03b7<\/mi><mo form=\"prefix\" stretchy=\"false\">(<\/mo><msub><mi>t<\/mi><mrow><mi>i<\/mi><mi>j<\/mi><\/mrow><\/msub><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo>+<\/mo><msubsup><mi>z<\/mi><mrow><mi>i<\/mi><mi>j<\/mi><\/mrow><mo lspace=\"0em\" rspace=\"0em\" class=\"tml-prime\">\u2032<\/mo><\/msubsup><msub><mi>u<\/mi><mi>i<\/mi><\/msub><mo>+<\/mo><msub><mi>v<\/mi><mi>i<\/mi><\/msub><mo form=\"prefix\" stretchy=\"false\">(<\/mo><msub><mi>t<\/mi><mrow><mi>i<\/mi><mi>j<\/mi><\/mrow><\/msub><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo>+<\/mo><msub><mi>\u03f5<\/mi><mrow><mi>i<\/mi><mi>j<\/mi><\/mrow><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">y_{ij} = x_{ij}&#8217;\\beta + \\eta(t_{ij}) + z_{ij}&#8217;u_i + v_i(t_{ij}) + \\epsilon_{ij}<\/annotation><\/semantics><\/math><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><math data-latex=\"x_{ij}'\\beta\"><semantics><mrow><msubsup><mi>x<\/mi><mrow><mi>i<\/mi><mi>j<\/mi><\/mrow><mo lspace=\"0em\" rspace=\"0em\" class=\"tml-prime\">\u2032<\/mo><\/msubsup><mi>\u03b2<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">x_{ij}&#8217;\\beta<\/annotation><\/semantics><\/math>: \uc131\ubcc4\ucc98\ub7fc \ub531 \ub5a8\uc5b4\uc9c0\ub294 \uc601\ud5a5\ub825(\uace0\uc815 \ud6a8\uacfc).<\/li>\n\n\n\n<li><math data-latex=\"\\eta(t_{ij})\"><semantics><mrow><mi>\u03b7<\/mi><mo form=\"prefix\" stretchy=\"false\">(<\/mo><msub><mi>t<\/mi><mrow><mi>i<\/mi><mi>j<\/mi><\/mrow><\/msub><mo form=\"postfix\" stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">\\eta(t_{ij})<\/annotation><\/semantics><\/math>: \ubaa8\ub4e0 \ud559\uc0dd\uc758 \ud3c9\uade0\uc801\uc778 \ubcf5\uc7a1\ud55c \uc131\uc7a5 \uace1\uc120(\ube44\ubaa8\uc218 \uace0\uc815 \ud6a8\uacfc).<\/li>\n\n\n\n<li><math data-latex=\"z_{ij}'u_i\"><semantics><mrow><msubsup><mi>z<\/mi><mrow><mi>i<\/mi><mi>j<\/mi><\/mrow><mo lspace=\"0em\" rspace=\"0em\" class=\"tml-prime\">\u2032<\/mo><\/msubsup><msub><mi>u<\/mi><mi>i<\/mi><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">z_{ij}&#8217;u_i<\/annotation><\/semantics><\/math>: \ud559\uc0dd \uac1c\uac1c\uc778\uc758 \uae30\ubcf8 \ucd9c\ubc1c\uc810 \ucc28\uc774(\ubaa8\uc218 \ubb34\uc120 \ud6a8\uacfc).<\/li>\n\n\n\n<li><math data-latex=\"v_i(t_{ij})\"><semantics><mrow><msub><mi>v<\/mi><mi>i<\/mi><\/msub><mo form=\"prefix\" stretchy=\"false\">(<\/mo><msub><mi>t<\/mi><mrow><mi>i<\/mi><mi>j<\/mi><\/mrow><\/msub><mo form=\"postfix\" stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">v_i(t_{ij})<\/annotation><\/semantics><\/math>: \ud559\uc0dd \uac1c\uac1c\uc778\uc758 \uace0\uc720\ud558\uace0 \ubcf5\uc7a1\ud55c \ubcc0\ud654 \ud328\ud134(\ube44\ubaa8\uc218 \ubb34\uc120 \ud6a8\uacfc).<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">3. \ubaa8\uc758 \ub370\uc774\ud130 \uc0dd\uc131 (R \ucf54\ub4dc)<\/h2>\n\n\n\n<p>\uc2e4\uc81c \ubd84\uc11d\uc5d0 \uc55e\uc11c, \ud559\uad50 \ud604\uc7a5\uacfc \uc720\uc0ac\ud55c \ub370\uc774\ud130\ub97c R\uc744 \ud1b5\ud574 \uc0dd\uc131\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<p>R<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac \ub85c\ub4dc\nlibrary(ggplot2)\nlibrary(mgcv) # Semiparametric \ubaa8\ub378(GAM) \ubd84\uc11d\uc6a9\n\n# 1. \ubaa8\uc758 \ub370\uc774\ud130 \uc0dd\uc131\nset.seed(2026)\nn_students &lt;- 100\nn_times &lt;- 8\ntimes &lt;- seq(0, 7, length.out = n_times)\n\ndata_list &lt;- list()\n\nfor(i in 1:n_students) {\n  # \ud559\uc0dd \ud2b9\uc131\n  gender &lt;- sample(c(0, 1), 1) # 0: \uc5ec, 1: \ub0a8\n  pre_score &lt;- rnorm(1, 50, 10)\n  \n  # \uc2dc\uac04\uc5d0 \ub530\ub978 \ubcf5\uc7a1\ud55c \ubcc0\ud654 (Sine \ud568\uc218\ub97c \ud65c\uc6a9\ud55c \ube44\uc120\ud615\uc131)\n  # \uac1c\uc778\ubcc4 \ubb34\uc120 \ud6a8\uacfc(v_i) \ud3ec\ud568\n  random_slope &lt;- rnorm(1, 2, 0.5)\n  y_values &lt;- 30 + 0.5 * pre_score + 2 * gender + \n              5 * sin(times\/1.5) + random_slope * times + \n              rnorm(n_times, 0, 3)\n  \n  data_list&#91;&#91;i]] &lt;- data.frame(\n    id = i,\n    time = times,\n    gender = gender,\n    pre_score = pre_score,\n    score = y_values\n  )\n}\n\nschool_data &lt;- do.call(rbind, data_list)\nschool_data$gender &lt;- factor(school_data$gender, labels = c(\"Girl\", \"Boy\"))\n\n# \ub370\uc774\ud130 \ud655\uc778\nhead(school_data)\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-file\"><a id=\"wp-block-file--media-e638c94b-c962-41c7-8efc-9d1621e160bc\" href=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/02\/chap17.csv\">chap17<\/a><a href=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/02\/chap17.csv\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-e638c94b-c962-41c7-8efc-9d1621e160bc\">\ub2e4\uc6b4\ub85c\ub4dc<\/a><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">4. jamovi \ubc0f R\uc5d0\uc11c\uc758 \ubd84\uc11d \ubc29\ubc95<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">jamovi \uc0ac\uc6a9\ubc95<\/h3>\n\n\n\n<p>jamovi\uc5d0\uc11c \uc774\uc640 \uac19\uc740 \uc900\ubaa8\uc218 \ubaa8\ub378\uc744 \uc9c1\uc811 \uad6c\ud604\ud558\ub824\uba74 <strong>&#8216;GAMLj&#8217;<\/strong> \ubaa8\ub4c8\uc774\ub098 <strong>&#8216;GAM&#8217;<\/strong> \uad00\ub828 \ubaa8\ub4c8\uc744 \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>Analyses<\/strong> \ud0ed\uc5d0\uc11c <strong>GAMLj<\/strong> (General Analysis for Linear Models) \uc120\ud0dd.<\/li>\n\n\n\n<li><strong>Mixed Models<\/strong> \uc120\ud0dd.<\/li>\n\n\n\n<li>Dependent Variable\uc5d0 <code>score<\/code>, Covariates\uc5d0 <code>time<\/code>, <code>pre_score<\/code>, Factor\uc5d0 <code>gender<\/code> \uc785\ub825.<\/li>\n\n\n\n<li><strong>Polynomials<\/strong> \uc635\uc158\uc5d0\uc11c <code>time<\/code>\uc758 \ucc28\uc218\ub97c \ub192\uc774\uac70\ub098, \ube44\ubaa8\uc218\uc801 \uc811\uadfc\uc744 \uc6d0\ud560 \uacbd\uc6b0 R \ud328\ud0a4\uc9c0 \uc5f0\ub3d9\uc744 \ud65c\uc6a9\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">R\uc744 \uc774\uc6a9\ud55c \uc815\ubc00 \ubd84\uc11d (Smoothing Spline \uc801\uc6a9)<\/h3>\n\n\n\n<p id=\"p-rc_1f17130e8fca643d-56\">\uad50\uc7ac\uc5d0\uc11c \uac15\uc870\ud558\ub294 <strong>\ud68c\uadc0 \uc2a4\ud504\ub77c\uc778(Regression Spline)<\/strong> \ub610\ub294 <strong>\ud3c9\ud65c \uc2a4\ud504\ub77c\uc778(Smoothing Spline)<\/strong> \uae30\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubd84\uc11d\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<p>R<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># 2. \uc900\ubaa8\uc218 \ud63c\ud569 \ubaa8\ub378 \uc801\ud569 (gamm \ud568\uc218 \uc0ac\uc6a9)\n# score = gender + pre_score (\ub9e4\uac1c\ubcc0\uc218) + s(time) (\ube44\ubaa8\uc218 \ud3c9\ud65c)\nmodel_fit &lt;- gamm(score ~ gender + pre_score + s(time, k=5), \n                  random = list(id = ~1 + time), \n                  data = school_data)\n\n# \uacb0\uacfc \uc694\uc57d\nsummary(model_fit$gam) # \uace0\uc815 \ud6a8\uacfc \ud655\uc778\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">5. \uacb0\uacfc \ud574\uc11d \ubc0f \uc2dc\uac01\ud654<\/h2>\n\n\n\n<p>\ubd84\uc11d \uacb0\uacfc, <strong>\uc131\ubcc4<\/strong>\uacfc <strong>\uc0ac\uc804 \uc810\uc218<\/strong>\ub294 \uc720\uc758\ubbf8\ud55c \uc591\uc758 \uc601\ud5a5\uc744 \ubbf8\ucce4\uc73c\uba70, <strong>\uc2dc\uac04(time)<\/strong>\uc5d0 \ub530\ub978 \ubcc0\ud654\ub294 \ub2e8\uc21c\ud55c \uc9c1\uc120\uc774 \uc544\ub2c8\ub77c \ubb3c\uacb0\uce58\ub294 \uace1\uc120\uc758 \ud615\ud0dc\ub97c \ub760\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\uc804\uccb4 \ud559\uc0dd\uc758 \ud3c9\uade0 \uc131\uc7a5 \uace1\uc120 (Population Fit)<\/h3>\n\n\n\n<p>R<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># \uc2dc\uac01\ud654 \ucf54\ub4dc\nggplot(school_data, aes(x = time, y = score, group = id)) +\n  geom_line(alpha = 0.1, color = \"gray\") + # \uac1c\ubcc4 \ud559\uc0dd \uc120\n  geom_smooth(aes(group = 1), method = \"gam\", formula = y ~ s(x, k=5), \n              color = \"blue\", size = 1.5) + # \ud3c9\uade0 \uace1\uc120 (SPME)\n  labs(title = \"\ucc3d\uc758\uc801 \ubb38\uc81c\ud574\uacb0\ub825 \uc131\uc7a5 \uace1\uc120 (SPME \ubaa8\ub378)\",\n       x = \"\uce21\uc815 \uc2dc\uc810 (\ud559\uae30)\", y = \"\ucc3d\uc758\uc131 \uc810\uc218\") +\n  theme_minimal()\n<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"720\" height=\"544\" src=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/02\/FIG17.png\" alt=\"\" class=\"wp-image-865\" srcset=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/02\/FIG17.png 720w, http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/02\/FIG17-300x227.png 300w, http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/02\/FIG17-624x471.png 624w\" sizes=\"auto, (max-width: 720px) 100vw, 720px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">\uc8fc\uc694 \uacb0\uacfc \uc694\uc57d (\ubaa8\uc758 \ubd84\uc11d \uacb0\uacfc \uae30\ubc18)<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td><strong>\uad6c\ubd84<\/strong><\/td><td><strong>\ucd94\uc815\uce58(Estimate)<\/strong><\/td><td><strong>\uc720\uc758\uc131(P-value)<\/strong><\/td><td><strong>\uc758\ubbf8<\/strong><\/td><\/tr><\/thead><tbody><tr><td><strong>\uc131\ubcc4(\ub0a8\ud559\uc0dd)<\/strong><\/td><td>1.42<\/td><td>&lt; .001<\/td><td>\ub0a8\ud559\uc0dd\uc774 \uc5ec\ud559\uc0dd\ubcf4\ub2e4 \ud3c9\uade0 1.42\uc810 \ub192\uc74c.<\/td><\/tr><tr><td><strong>\uc0ac\uc804 \uc810\uc218<\/strong><\/td><td>0.54<\/td><td>&lt; .001<\/td><td>\uc0ac\uc804 \uc810\uc218\uac00 \ub192\uc744\uc218\ub85d \ud604\uc7ac \uc810\uc218\ub3c4 \ub192\uc74c<sup><\/sup>.<\/td><\/tr><tr><td><strong>s(time)<\/strong><\/td><td>\uace1\uc120 \ud615\ud0dc<\/td><td>&lt; .001<\/td><td>\uc2dc\uac04\uc774 \uc9c0\ub0a8\uc5d0 \ub530\ub77c \uc810\uc218\uac00 \ube44\uc120\ud615\uc801\uc73c\ub85c \uc0c1\uc2b9\ud568<sup><\/sup>.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">6. \uacb0\ub860 \ubc0f \uc2dc\uc0ac\uc810<\/h2>\n\n\n\n<p>\uc900\ubaa8\uc218 \ud63c\ud569 \ubaa8\ub378(SPME)\uc740 \ud559\uad50 \ud604\uc7a5\uc758 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud560 \ub54c \ub9e4\uc6b0 \uac15\ub825\ud55c \ub3c4\uad6c\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\uc720\uc5f0\uc131:<\/strong> \uad50\uc721 \ud504\ub85c\uadf8\ub7a8\uc758 \ud6a8\uacfc\uac00 \uc2dc\uae30\ubcc4\ub85c \ub2e4\ub974\uac8c \ub098\ud0c0\ub098\ub294 \ud604\uc0c1\uc744 \uc815\ud655\ud788 \ud3ec\ucc29\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\uc815\ubc00\ud568:<\/strong> \ud559\uc0dd \uac1c\uc778\uc758 \ud2b9\uc131(\ubb34\uc120 \ud6a8\uacfc)\uc744 \uace0\ub824\ud558\uba74\uc11c\ub3c4 \uc804\uccb4\uc801\uc778 \ucd94\uc138\ub97c \ub193\uce58\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\ud574\uc11d\ub825:<\/strong> &#8220;\uc131\ubcc4 \ucc28\uc774\ub294 \uc874\uc7ac\ud558\uc9c0\ub9cc, \uc131\uc7a5 \ud328\ud134 \uc790\uccb4\ub294 \ubaa8\ub4e0 \ud559\uc0dd\uc774 \ube44\uc2b7\ud558\uac8c \ud30c\ub3d9\uc744 \uadf8\ub9ac\uba70 \uc0c1\uc2b9\ud55c\ub2e4&#8221;\ub294 \uc2dd\uc758 \uae4a\uc774 \uc788\ub294 \ud574\uc11d\uc774 \uac00\ub2a5\ud574\uc9d1\ub2c8\ub2e4.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\ucc38\uace0\ubb38\ud5cc (APA Style)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Durban, M., Harezlak, J., Wand, M.P., &amp; Carroll, R.J. (2005). Simple fitting of subject-specific curves for longitudinal data. <em>Statistics in Medicine, 24<\/em>(8), 1153-1167. <\/li>\n\n\n\n<li>Eubank, R. L. (1999). <em>Nonparametric regression and spline smoothing<\/em>. New York: Marcel Dekker. <\/li>\n\n\n\n<li>Green, P. J., &amp; Silverman, B. W. (1994). <em>Nonparametric regression and generalized linear models: A roughness penalty approach<\/em>. London: Chapman and Hall. <\/li>\n\n\n\n<li>Wu, H., &amp; Zhang, J. T. (2006). <em>Nonparametric regression methods for longitudinal data analysis<\/em>. New York: Wiley. <\/li>\n\n\n\n<li>Zhang, J. T. (2010). Smoothing and semiparametric models. In G. Marcoulides &amp; J. Heck (Eds.), <em>The SAGE Handbook of Multilevel Modeling<\/em> (pp. 299-324). London: SAGE Publications. <\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\uc548\ub155\ud558\uc138\uc694! \uc624\ub298\uc740 \uc900\uac1c\ubcc4\ud654\ub41c \ud559\uc2b5 \uc131\uc7a5 \uace1\uc120: \uc900\ubaa8\uc218 \ud63c\ud569 \ud6a8\uacfc \ubaa8\ub378(Semiparametric Mixed-Effects Models)\uc5d0 \ub300\ud574 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \u201c\ud559\uad50 \ud604\uc7a5\uc758 \ub370\uc774\ud130\u201d\ub97c \uc608\uc2dc\ub85c \ub4e4\uc5b4 \uc9c1\uad00\uc801\uc778 \uc124\uba85\uacfc \uc218\ub9ac\uc801 \uc5c4\ubc00\ud568\uc744 \ubaa8\ub450 \uac16\ucd98 \ud615\ud0dc\ub85c \uc7ac\uad6c\uc131\ud574 \ub4dc\ub9ac\uaca0\uc2b5\ub2c8\ub2e4. \ubd84\uc11d \ub3c4\uad6c\ub85c\ub294 jamovi\uc758 \uc0ac\uc6a9\ubc95\uc744 \uc124\uba85\ud558\ub418, jamovi\uc758 \uae30\ubc18\uc774 \ub418\ub294 R \ucf54\ub4dc\ub97c \ud568\uaed8 \uc81c\uc2dc\ud558\uc5ec \ubaa8\uc758 \ub370\uc774\ud130 \uc0dd\uc131\ubd80\ud130 \ubd84\uc11d, \uc2dc\uac01\ud654\uae4c\uc9c0 \uc644\ubcbd\ud558\uac8c \uad6c\ud604\ud574 \ub4dc\ub9ac\uaca0\uc2b5\ub2c8\ub2e4. 1. \ub4e4\uc5b4\uac00\uba70: \uc65c &#8216;\uc900\ubaa8\uc218&#8217; \ubaa8\ub378\uc774 \ud544\uc694\ud55c\uac00\uc694? \ud559\uad50\uc5d0\uc11c <a class=\"read-more\" href=\"http:\/\/waurimal.kr\/?p=863\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[399],"tags":[145,199,400,511],"class_list":["post-863","post","type-post","status-publish","format-standard","hentry","category-multilevel","tag-jamovi","tag-r","tag-400","tag-511"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Chap17.\ud3c9\ud65c\ud654 \ubc0f \uc900\ubaa8\uc218 \ubaa8\ud615(Smoothing and Semiparametric Models) - WaurimaL<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/waurimal.kr\/?p=863\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Chap17.\ud3c9\ud65c\ud654 \ubc0f \uc900\ubaa8\uc218 \ubaa8\ud615(Smoothing and Semiparametric Models) - WaurimaL\" \/>\n<meta property=\"og:description\" content=\"\uc548\ub155\ud558\uc138\uc694! \uc624\ub298\uc740 \uc900\uac1c\ubcc4\ud654\ub41c \ud559\uc2b5 \uc131\uc7a5 \uace1\uc120: \uc900\ubaa8\uc218 \ud63c\ud569 \ud6a8\uacfc \ubaa8\ub378(Semiparametric Mixed-Effects Models)\uc5d0 \ub300\ud574 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \u201c\ud559\uad50 \ud604\uc7a5\uc758 \ub370\uc774\ud130\u201d\ub97c \uc608\uc2dc\ub85c \ub4e4\uc5b4 \uc9c1\uad00\uc801\uc778 \uc124\uba85\uacfc \uc218\ub9ac\uc801 \uc5c4\ubc00\ud568\uc744 \ubaa8\ub450 \uac16\ucd98 \ud615\ud0dc\ub85c \uc7ac\uad6c\uc131\ud574 \ub4dc\ub9ac\uaca0\uc2b5\ub2c8\ub2e4. \ubd84\uc11d \ub3c4\uad6c\ub85c\ub294 jamovi\uc758 \uc0ac\uc6a9\ubc95\uc744 \uc124\uba85\ud558\ub418, jamovi\uc758 \uae30\ubc18\uc774 \ub418\ub294 R \ucf54\ub4dc\ub97c \ud568\uaed8 \uc81c\uc2dc\ud558\uc5ec \ubaa8\uc758 \ub370\uc774\ud130 \uc0dd\uc131\ubd80\ud130 \ubd84\uc11d, \uc2dc\uac01\ud654\uae4c\uc9c0 \uc644\ubcbd\ud558\uac8c \uad6c\ud604\ud574 \ub4dc\ub9ac\uaca0\uc2b5\ub2c8\ub2e4. 1. \ub4e4\uc5b4\uac00\uba70: \uc65c &#8216;\uc900\ubaa8\uc218&#8217; 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