update: v1.0.0

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diff --git a/03.Rmd b/03.Rmd
@@ -631,14 +631,15 @@ knitr::include_graphics("media-03/figure-2.png")
 위 과정으로 얻어진 계산값은 가장 정확하게 생물학적 동등성을 평가하고 있어 표준으로 사용되는 SAS 소프트웨어 결과값과 완전히 동일하였다. \index{생물학적 동등성}
 
 ```{r, echo=FALSE}
-tribble(~"PK parameter", ~"Analysis", ~"Lower Limit", ~"Point Estimate", ~"Upper Limit",
-"AUC~inf~", "R BE 패키지", "0.88944", "0.95408", "1.02341",
+tribble(~"Parameter", ~"Analysis", ~"LL", ~"PE", ~"UL",
+"AUC\\textsubscript{inf}", "R BE 패키지", "0.88944", "0.95408", "1.02341",
 "", "SAS: PROC GLM", "0.88944", "0.95408", "1.02341",
 "", "SAS: PROC MIXED", "0.88944", "0.95408", "1.02341",
-"C~max~", "R BE 패키지", "0.90136", "0.97984", "1.06515",
+"C\\textsubscript{max}", "R BE 패키지", "0.90136", "0.97984", "1.06515",
 "", "SAS: PROC GLM", "0.90136", "0.97984", "1.06515",
 "", "SAS: PROC MIXED", "0.90136", "0.97984", "1.06515") %>%
-  kable(caption = "R BE 패키지와 SAS의 PROC GLM, PROC MIXED 계산 결과값의 비교", booktabs=TRUE, escape=FALSE)
+  kable(caption = "R BE 패키지와 SAS의 PROC GLM, PROC MIXED 계산 결과값의 비교", booktabs=TRUE, escape=FALSE,
+        linesep = "")
 ```
 
 ## 웹브라우저를 통한 NCA 및 생물학적동등성 판정

diff --git a/05.Rmd b/05.Rmd
@@ -2,6 +2,7 @@
 
 \Large\hfill
 한성필^[약동학 데이터를 분석하여 PK 파라미터를 찾는 업무를 하지 않는 독자들은 이 장을 읽지 않고 넘어가도 좋습니다.] 
+
 \normalsize
 
 ```{r include=FALSE}
@@ -161,10 +162,12 @@ r1 = nlr(fPK02a, dPK02, pNames=c("ka", "V", "k"), IE=c(0.1, 30, 0.05))
 r1$Est
 ```
 
-### Compartmental analysis with Tlag 
+### Compartmental analysis with T~lag~ 
 
 경구 투여 1구획분석, 지연 시간이 있는 모델이다. k~a~, V, k에 T~lag~가 추가되어 농도를 나타낼 수 있다.\index{지연 시간}
 
+\small 
+
 ```{r}
 fPK02b = function(THETA) # Prediction function
 {
@@ -186,6 +189,8 @@ r2 = nlr(fPK02b, dPK02, pNames=c("ka", "V", "k", "tlag"),
 r2$Est
 ```
 
+\normalsize
+
 ### 모델링 결과
 
 위 두개의 모델을 비교할 때 지연 시간이 있는 모델의 적합이 더 좋은 것을 알 수 있다. (그림 \@ref(fig:onecomp-lag)) C~max~ 부분을 주의깊게 살펴야 한다. \index{지연 시간}
@@ -267,6 +272,8 @@ for (i in 1:nID) {
 
 정맥주사 후 약동학 자료에 대해 1구획모델로 구획분석을 수행하였고, 이때 구해진 PK 파라미터를 사용하여 150분까지 시뮬레이션 한 결과를 그림으로 나타내었다 (그림 \@ref(fig:onecomp-iv)). \index{약동학}\index{시뮬레이션}
 
+\small
+
 ```{r onecomp-iv, fig.cap = "wnl 패키지를 통해 얻어진 정맥 투여 1구획모델 PK 파라미터로 150분까지 시뮬레이션한 결과. (실선: 예측값 곡선, 도형: 관찰값)", fig.width = 6, fig.height = 3.5}
 plot(0, 1, type="n", xlim=c(0, 160), ylim=c(10, 1000), 
      log="y", xlab="Time (min)", ylab="Concentration (ug/L)")
@@ -279,6 +286,8 @@ for (i in 1:nID) {
 }
 ```
 
+\normalsize
+
 ## 2구획모델 경구 흡수 이용한 약동학 자료 분석\index{약동학}
 
 wnl 라이브러리를 불러오고 자료를 읽어온다. 
@@ -322,7 +331,7 @@ r1 <- nlr(fPK14a, dPK14,
 r1$Est
 ```
 
-### Compartmental analysis with Tlag 
+### Compartmental analysis with T~lag~ 
 
 경구 투여 2구획, 지연 시간이 있는 모델이다. Ka, V, k21, alpha, beta 에 Tlag가 추가되어 농도를 나타낼 수 있다.\index{지연 시간}
 

diff --git a/Output-ncar/txtNCA-Theoph.txt b/Output-ncar/txtNCA-Theoph.txt
@@ -2,7 +2,7 @@
                        Package version 0.4.4 (2021-07-16 KST)
                           R version 4.1.1 (2021-08-10)
 
-Date and Time: 2021-09-16 16:58:43 Asia/Seoul
+Date and Time: 2021-09-17 15:01:21 Asia/Seoul
 
 Calculation Setting
 -------------------

diff --git a/README.md b/README.md
@@ -1,4 +1,4 @@
-# 신약개발을 위한 실전 약동학 (I - 이론과 자료해석)<img src="images/cover.jpg"  align="right" height="150" />
+# 신약개발을 위한 실전 약동학 I (기본원리와 자료해석)<img src="images/cover.jpg"  align="right" height="150" />
 
 **Phamacokinetics for pharmaceutical scientists**
 
@@ -93,7 +93,7 @@
 ## Cover 제작용 비율 
 
 ```r
-(back <- 16.235) # 268 페이지
+(back <- 9.525) # 150 페이지
 (width <- 3+100+148+back+148+100+3)
 (height <- 3+210+3)
 
@@ -104,3 +104,4 @@
 width/height
 # [1] 2.399236
 ```
+
diff --git a/pharmapk-v0.9.9.pdf → correspondence/pharmapk-v1.0.0-crop.pdf b/pharmapk-v0.9.9.pdf → correspondence/pharmapk-v1.0.0-crop.pdf
diff --git a/docs/404.html b/docs/404.html
@@ -24,7 +24,7 @@
 <meta name="author" content="가톨릭대학교 계량약리학연구소(PIPET) 임동석, 한승훈, 한성필 - v1.0.0 (2021-09-16)" />
 
 
-<meta name="date" content="2021-09-16" />
+<meta name="date" content="2021-09-17" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1" />
   <meta name="apple-mobile-web-app-capable" content="yes" />
@@ -276,7 +276,7 @@
 <li class="chapter" data-level="5.4" data-path="ca-analysis.html"><a href="ca-analysis.html#구획모델을-이용한-경구투여-후-약동학-자료-분석"><i class="fa fa-check"></i><b>5.4</b> 1구획모델을 이용한 경구투여 후 약동학 자료 분석</a>
 <ul>
 <li class="chapter" data-level="5.4.1" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-without-tlag"><i class="fa fa-check"></i><b>5.4.1</b> Compartmental analysis without Tlag</a></li>
-<li class="chapter" data-level="5.4.2" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-with-tlag"><i class="fa fa-check"></i><b>5.4.2</b> Compartmental analysis with Tlag</a></li>
+<li class="chapter" data-level="5.4.2" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-with-tlag"><i class="fa fa-check"></i><b>5.4.2</b> Compartmental analysis with T<sub>lag</sub></a></li>
 <li class="chapter" data-level="5.4.3" data-path="ca-analysis.html"><a href="ca-analysis.html#모델링-결과"><i class="fa fa-check"></i><b>5.4.3</b> 모델링 결과</a></li>
 </ul></li>
 <li class="chapter" data-level="5.5" data-path="ca-analysis.html"><a href="ca-analysis.html#구획모델을-이용한-정맥주사-후-약동학-자료-분석"><i class="fa fa-check"></i><b>5.5</b> 1구획모델을 이용한 정맥주사 후 약동학 자료 분석</a>
@@ -287,7 +287,7 @@
 <li class="chapter" data-level="5.6" data-path="ca-analysis.html"><a href="ca-analysis.html#구획모델-경구-흡수-이용한-약동학-자료-분석"><i class="fa fa-check"></i><b>5.6</b> 2구획모델 경구 흡수 이용한 약동학 자료 분석</a>
 <ul>
 <li class="chapter" data-level="5.6.1" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-without-tlag-1"><i class="fa fa-check"></i><b>5.6.1</b> Compartmental analysis without Tlag</a></li>
-<li class="chapter" data-level="5.6.2" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-with-tlag-1"><i class="fa fa-check"></i><b>5.6.2</b> Compartmental analysis with Tlag</a></li>
+<li class="chapter" data-level="5.6.2" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-with-tlag-1"><i class="fa fa-check"></i><b>5.6.2</b> Compartmental analysis with T<sub>lag</sub></a></li>
 <li class="chapter" data-level="5.6.3" data-path="ca-analysis.html"><a href="ca-analysis.html#모델링-결과-2"><i class="fa fa-check"></i><b>5.6.3</b> 모델링 결과</a></li>
 </ul></li>
 <li class="chapter" data-level="5.7" data-path="ca-analysis.html"><a href="ca-analysis.html#theoph-wnl"><i class="fa fa-check"></i><b>5.7</b> Theoph 약동학 자료의 구획분석</a></li>

diff --git a/docs/Theoph_nlr.html b/docs/Theoph_nlr.html
@@ -24,7 +24,7 @@
 <meta name="author" content="가톨릭대학교 계량약리학연구소(PIPET) 임동석, 한승훈, 한성필 - v1.0.0 (2021-09-16)" />
 
 
-<meta name="date" content="2021-09-16" />
+<meta name="date" content="2021-09-17" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1" />
   <meta name="apple-mobile-web-app-capable" content="yes" />
@@ -276,7 +276,7 @@
 <li class="chapter" data-level="5.4" data-path="ca-analysis.html"><a href="ca-analysis.html#구획모델을-이용한-경구투여-후-약동학-자료-분석"><i class="fa fa-check"></i><b>5.4</b> 1구획모델을 이용한 경구투여 후 약동학 자료 분석</a>
 <ul>
 <li class="chapter" data-level="5.4.1" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-without-tlag"><i class="fa fa-check"></i><b>5.4.1</b> Compartmental analysis without Tlag</a></li>
-<li class="chapter" data-level="5.4.2" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-with-tlag"><i class="fa fa-check"></i><b>5.4.2</b> Compartmental analysis with Tlag</a></li>
+<li class="chapter" data-level="5.4.2" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-with-tlag"><i class="fa fa-check"></i><b>5.4.2</b> Compartmental analysis with T<sub>lag</sub></a></li>
 <li class="chapter" data-level="5.4.3" data-path="ca-analysis.html"><a href="ca-analysis.html#모델링-결과"><i class="fa fa-check"></i><b>5.4.3</b> 모델링 결과</a></li>
 </ul></li>
 <li class="chapter" data-level="5.5" data-path="ca-analysis.html"><a href="ca-analysis.html#구획모델을-이용한-정맥주사-후-약동학-자료-분석"><i class="fa fa-check"></i><b>5.5</b> 1구획모델을 이용한 정맥주사 후 약동학 자료 분석</a>
@@ -287,7 +287,7 @@
 <li class="chapter" data-level="5.6" data-path="ca-analysis.html"><a href="ca-analysis.html#구획모델-경구-흡수-이용한-약동학-자료-분석"><i class="fa fa-check"></i><b>5.6</b> 2구획모델 경구 흡수 이용한 약동학 자료 분석</a>
 <ul>
 <li class="chapter" data-level="5.6.1" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-without-tlag-1"><i class="fa fa-check"></i><b>5.6.1</b> Compartmental analysis without Tlag</a></li>
-<li class="chapter" data-level="5.6.2" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-with-tlag-1"><i class="fa fa-check"></i><b>5.6.2</b> Compartmental analysis with Tlag</a></li>
+<li class="chapter" data-level="5.6.2" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-with-tlag-1"><i class="fa fa-check"></i><b>5.6.2</b> Compartmental analysis with T<sub>lag</sub></a></li>
 <li class="chapter" data-level="5.6.3" data-path="ca-analysis.html"><a href="ca-analysis.html#모델링-결과-2"><i class="fa fa-check"></i><b>5.6.3</b> 모델링 결과</a></li>
 </ul></li>
 <li class="chapter" data-level="5.7" data-path="ca-analysis.html"><a href="ca-analysis.html#theoph-wnl"><i class="fa fa-check"></i><b>5.7</b> Theoph 약동학 자료의 구획분석</a></li>
@@ -418,7 +418,7 @@ <h1><span class="header-section-number">B</span> Theoph의 nlr의 전체 실행
 ##  [9]  6.353e-05  1.018e-01  2.654e-01
 ## 
 ## $`Elapsed Time`
-## Time difference of 0.07867 secs
+## Time difference of 0.02343 secs
 ## 
 ## [1] &quot;## ID = 2 ##&quot;
 ## $Est
@@ -483,7 +483,7 @@ <h1><span class="header-section-number">B</span> Theoph의 nlr의 전체 실행
 ## [11]  0.008457
 ## 
 ## $`Elapsed Time`
-## Time difference of 0.02215 secs
+## Time difference of 0.008093 secs
 ## 
 ## [1] &quot;## ID = 3 ##&quot;
 ## $Est
@@ -548,7 +548,7 @@ <h1><span class="header-section-number">B</span> Theoph의 nlr의 전체 실행
 ## [11] -0.29760
 ## 
 ## $`Elapsed Time`
-## Time difference of 0.02412 secs
+## Time difference of 0.006063 secs
 ## 
 ## [1] &quot;## ID = 4 ##&quot;
 ## $Est
@@ -612,7 +612,7 @@ <h1><span class="header-section-number">B</span> Theoph의 nlr의 전체 실행
 ##  [7] -0.2575 -0.2352  0.2780  0.2901 -0.1376
 ## 
 ## $`Elapsed Time`
-## Time difference of 0.0169 secs
+## Time difference of 0.005136 secs
 ## 
 ## [1] &quot;## ID = 5 ##&quot;
 ## $Est
@@ -677,7 +677,7 @@ <h1><span class="header-section-number">B</span> Theoph의 nlr의 전체 실행
 ## [11]  0.102075
 ## 
 ## $`Elapsed Time`
-## Time difference of 0.01615 secs
+## Time difference of 0.005399 secs
 ## 
 ## [1] &quot;## ID = 6 ##&quot;
 ## $Est
@@ -741,7 +741,7 @@ <h1><span class="header-section-number">B</span> Theoph의 nlr의 전체 실행
 ##  [7] -0.2104 -0.2191  0.0595  0.2268  0.1271
 ## 
 ## $`Elapsed Time`
-## Time difference of 0.02065 secs
+## Time difference of 0.005644 secs
 ## 
 ## [1] &quot;## ID = 7 ##&quot;
 ## $Est
@@ -805,7 +805,7 @@ <h1><span class="header-section-number">B</span> Theoph의 nlr의 전체 실행
 ##  [7]  0.1209 -0.3054 -0.1850  0.1653  0.1796
 ## 
 ## $`Elapsed Time`
-## Time difference of 0.02037 secs
+## Time difference of 0.006156 secs
 ## 
 ## [1] &quot;## ID = 8 ##&quot;
 ## $Est
@@ -869,7 +869,7 @@ <h1><span class="header-section-number">B</span> Theoph의 nlr의 전체 실행
 ##  [7] -0.1496 -0.2478  0.3974 -0.1579  0.2044
 ## 
 ## $`Elapsed Time`
-## Time difference of 0.01457 secs
+## Time difference of 0.005297 secs
 ## 
 ## [1] &quot;## ID = 9 ##&quot;
 ## $Est
@@ -933,7 +933,7 @@ <h1><span class="header-section-number">B</span> Theoph의 nlr의 전체 실행
 ##  [7]  0.2990 -0.2183  0.2389  0.1227  0.1205
 ## 
 ## $`Elapsed Time`
-## Time difference of 0.02341 secs
+## Time difference of 0.007387 secs
 ## 
 ## [1] &quot;## ID = 10 ##&quot;
 ## $Est
@@ -998,7 +998,7 @@ <h1><span class="header-section-number">B</span> Theoph의 nlr의 전체 실행
 ## [11] -0.01104
 ## 
 ## $`Elapsed Time`
-## Time difference of 0.02384 secs
+## Time difference of 0.007705 secs
 ## 
 ## [1] &quot;## ID = 11 ##&quot;
 ## $Est
@@ -1063,7 +1063,7 @@ <h1><span class="header-section-number">B</span> Theoph의 nlr의 전체 실행
 ## [11]  0.04519
 ## 
 ## $`Elapsed Time`
-## Time difference of 0.03172 secs
+## Time difference of 0.007589 secs
 ## 
 ## [1] &quot;## ID = 12 ##&quot;
 ## $Est
@@ -1128,7 +1128,7 @@ <h1><span class="header-section-number">B</span> Theoph의 nlr의 전체 실행
 ## [11] -0.02175
 ## 
 ## $`Elapsed Time`
-## Time difference of 0.02196 secs</code></pre>
+## Time difference of 0.008361 secs</code></pre>
 
 </div>
             </section>

diff --git a/docs/Theoph_tblNCA.html b/docs/Theoph_tblNCA.html
@@ -24,7 +24,7 @@
 <meta name="author" content="가톨릭대학교 계량약리학연구소(PIPET) 임동석, 한승훈, 한성필 - v1.0.0 (2021-09-16)" />
 
 
-<meta name="date" content="2021-09-16" />
+<meta name="date" content="2021-09-17" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1" />
   <meta name="apple-mobile-web-app-capable" content="yes" />
@@ -276,7 +276,7 @@
 <li class="chapter" data-level="5.4" data-path="ca-analysis.html"><a href="ca-analysis.html#구획모델을-이용한-경구투여-후-약동학-자료-분석"><i class="fa fa-check"></i><b>5.4</b> 1구획모델을 이용한 경구투여 후 약동학 자료 분석</a>
 <ul>
 <li class="chapter" data-level="5.4.1" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-without-tlag"><i class="fa fa-check"></i><b>5.4.1</b> Compartmental analysis without Tlag</a></li>
-<li class="chapter" data-level="5.4.2" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-with-tlag"><i class="fa fa-check"></i><b>5.4.2</b> Compartmental analysis with Tlag</a></li>
+<li class="chapter" data-level="5.4.2" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-with-tlag"><i class="fa fa-check"></i><b>5.4.2</b> Compartmental analysis with T<sub>lag</sub></a></li>
 <li class="chapter" data-level="5.4.3" data-path="ca-analysis.html"><a href="ca-analysis.html#모델링-결과"><i class="fa fa-check"></i><b>5.4.3</b> 모델링 결과</a></li>
 </ul></li>
 <li class="chapter" data-level="5.5" data-path="ca-analysis.html"><a href="ca-analysis.html#구획모델을-이용한-정맥주사-후-약동학-자료-분석"><i class="fa fa-check"></i><b>5.5</b> 1구획모델을 이용한 정맥주사 후 약동학 자료 분석</a>
@@ -287,7 +287,7 @@
 <li class="chapter" data-level="5.6" data-path="ca-analysis.html"><a href="ca-analysis.html#구획모델-경구-흡수-이용한-약동학-자료-분석"><i class="fa fa-check"></i><b>5.6</b> 2구획모델 경구 흡수 이용한 약동학 자료 분석</a>
 <ul>
 <li class="chapter" data-level="5.6.1" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-without-tlag-1"><i class="fa fa-check"></i><b>5.6.1</b> Compartmental analysis without Tlag</a></li>
-<li class="chapter" data-level="5.6.2" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-with-tlag-1"><i class="fa fa-check"></i><b>5.6.2</b> Compartmental analysis with Tlag</a></li>
+<li class="chapter" data-level="5.6.2" data-path="ca-analysis.html"><a href="ca-analysis.html#compartmental-analysis-with-tlag-1"><i class="fa fa-check"></i><b>5.6.2</b> Compartmental analysis with T<sub>lag</sub></a></li>
 <li class="chapter" data-level="5.6.3" data-path="ca-analysis.html"><a href="ca-analysis.html#모델링-결과-2"><i class="fa fa-check"></i><b>5.6.3</b> 모델링 결과</a></li>
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 <li class="chapter" data-level="5.7" data-path="ca-analysis.html"><a href="ca-analysis.html#theoph-wnl"><i class="fa fa-check"></i><b>5.7</b> Theoph 약동학 자료의 구획분석</a></li>