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<!DOCTYPE html>
<html lang="" xml:lang="">
<head>
<title>Title of my presentation and the topic of today</title>
<meta charset="utf-8" />
<meta name="author" content="My name" />
<meta name="author" content="MSc / MPhil / PhD Student: XXX" />
<meta name="date" content="2021-06-05" />
<script src="index_files/header-attrs-2.8/header-attrs.js"></script>
<link href="index_files/ionicons-2.0.1/css/ionicons.min.css" rel="stylesheet" />
<link rel="stylesheet" href="glasgow_light.css" type="text/css" />
<link rel="stylesheet" href="image_title.css" type="text/css" />
<link rel="stylesheet" href="outline.css" type="text/css" />
<link rel="stylesheet" href="blockquote.css" type="text/css" />
<link rel="stylesheet" href="text_color.css" type="text/css" />
</head>
<body>
<textarea id="source">
class: title-slide
# This is my title: An Excellent Presentation
## AATS Annual Meeting 2021
### Dr. XYZ
###Associate Professor of xxxx
###University of xxxx
###xxxx, xxxx
###<i class="ion ion-email "></i> abc@123.edu
---
# Contents of the title slide
* The title slide contains information from the yaml. The **yaml** is first part of the Rmarkdown document before the body of the document.
* The yaml options for **xaringan** slides provided in this template are title, author, and date.
* Apart from the standard yaml options, **autoplay** and **loop** can be used to loop the slides creating a continuous slideshow.
* the yaml contains .text-rust[_seal:false_], that way, you can create a new title slide without pulling information from the yaml.
---
class: center, middle, chapter
# Using this Template
---
# Using this Template
Details regarding using the xaringan library and this template is available at
* (https://bookdown.org/yihui/rmarkdown/xaringan.html)
This is a link to the chapter on the **xaringan** library.
* (https://slides.yihui.org/xaringan/#1) This is a link to the official documentation on **xaringan**.
* (https://github.com/yihui/xaringan/wiki) This is a link to the **xaringan** wiki page. It provides tips regarding use as well as further customisation.
* (https://github.com/gnab/remark/wiki) The **remark.js** wiki is a good tool to learn how to make slides.
---
# Layout
* Simple title, bullet, text layout
* Two column with equal column layout
* Two column with side-bar and content layout
---
# One bullet point at a time
* First point
--
* Second point
--
* Third point
---
# Insert graphs
<img src="index_files/figure-html/unnamed-chunk-3-1.png" style="display: block; margin: auto;" />
---
# Highlight code
* Code can be highlighted using **#<<**
* Use [ some R code ] to allow for vertical scrolling of R chunk and results.
.pre-large[
```r
# use .pre[some R code] to allow for vertical scrolling of R code chunk
*a <- lm(mpg ~ hp, data = mtcars)
summary(a)
```
```
##
## Call:
## lm(formula = mpg ~ hp, data = mtcars)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.7121 -2.1122 -0.8854 1.5819 8.2360
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 30.09886 1.63392 18.421 < 2e-16 ***
## hp -0.06823 0.01012 -6.742 1.79e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.863 on 30 degrees of freedom
## Multiple R-squared: 0.6024, Adjusted R-squared: 0.5892
## F-statistic: 45.46 on 1 and 30 DF, p-value: 1.788e-07
```
]
---
# Whole slide scroll
.pre-whole[
```r
s <- survfit(Surv(time, status) ~ sex, data = lung)
summary(s)
```
```
## Call: survfit(formula = Surv(time, status) ~ sex, data = lung)
##
## sex=1
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 11 138 3 0.9783 0.0124 0.9542 1.000
## 12 135 1 0.9710 0.0143 0.9434 0.999
## 13 134 2 0.9565 0.0174 0.9231 0.991
## 15 132 1 0.9493 0.0187 0.9134 0.987
## 26 131 1 0.9420 0.0199 0.9038 0.982
## 30 130 1 0.9348 0.0210 0.8945 0.977
## 31 129 1 0.9275 0.0221 0.8853 0.972
## 53 128 2 0.9130 0.0240 0.8672 0.961
## 54 126 1 0.9058 0.0249 0.8583 0.956
## 59 125 1 0.8986 0.0257 0.8496 0.950
## 60 124 1 0.8913 0.0265 0.8409 0.945
## 65 123 2 0.8768 0.0280 0.8237 0.933
## 71 121 1 0.8696 0.0287 0.8152 0.928
## 81 120 1 0.8623 0.0293 0.8067 0.922
## 88 119 2 0.8478 0.0306 0.7900 0.910
## 92 117 1 0.8406 0.0312 0.7817 0.904
## 93 116 1 0.8333 0.0317 0.7734 0.898
## 95 115 1 0.8261 0.0323 0.7652 0.892
## 105 114 1 0.8188 0.0328 0.7570 0.886
## 107 113 1 0.8116 0.0333 0.7489 0.880
## 110 112 1 0.8043 0.0338 0.7408 0.873
## 116 111 1 0.7971 0.0342 0.7328 0.867
## 118 110 1 0.7899 0.0347 0.7247 0.861
## 131 109 1 0.7826 0.0351 0.7167 0.855
## 132 108 2 0.7681 0.0359 0.7008 0.842
## 135 106 1 0.7609 0.0363 0.6929 0.835
## 142 105 1 0.7536 0.0367 0.6851 0.829
## 144 104 1 0.7464 0.0370 0.6772 0.823
## 147 103 1 0.7391 0.0374 0.6694 0.816
## 156 102 2 0.7246 0.0380 0.6538 0.803
## 163 100 3 0.7029 0.0389 0.6306 0.783
## 166 97 1 0.6957 0.0392 0.6230 0.777
## 170 96 1 0.6884 0.0394 0.6153 0.770
## 175 94 1 0.6811 0.0397 0.6076 0.763
## 176 93 1 0.6738 0.0399 0.5999 0.757
## 177 92 1 0.6664 0.0402 0.5922 0.750
## 179 91 2 0.6518 0.0406 0.5769 0.736
## 180 89 1 0.6445 0.0408 0.5693 0.730
## 181 88 2 0.6298 0.0412 0.5541 0.716
## 183 86 1 0.6225 0.0413 0.5466 0.709
## 189 83 1 0.6150 0.0415 0.5388 0.702
## 197 80 1 0.6073 0.0417 0.5309 0.695
## 202 78 1 0.5995 0.0419 0.5228 0.687
## 207 77 1 0.5917 0.0420 0.5148 0.680
## 210 76 1 0.5839 0.0422 0.5068 0.673
## 212 75 1 0.5762 0.0424 0.4988 0.665
## 218 74 1 0.5684 0.0425 0.4909 0.658
## 222 72 1 0.5605 0.0426 0.4829 0.651
## 223 70 1 0.5525 0.0428 0.4747 0.643
## 229 67 1 0.5442 0.0429 0.4663 0.635
## 230 66 1 0.5360 0.0431 0.4579 0.627
## 239 64 1 0.5276 0.0432 0.4494 0.619
## 246 63 1 0.5192 0.0433 0.4409 0.611
## 267 61 1 0.5107 0.0434 0.4323 0.603
## 269 60 1 0.5022 0.0435 0.4238 0.595
## 270 59 1 0.4937 0.0436 0.4152 0.587
## 283 57 1 0.4850 0.0437 0.4065 0.579
## 284 56 1 0.4764 0.0438 0.3979 0.570
## 285 54 1 0.4676 0.0438 0.3891 0.562
## 286 53 1 0.4587 0.0439 0.3803 0.553
## 288 52 1 0.4499 0.0439 0.3716 0.545
## 291 51 1 0.4411 0.0439 0.3629 0.536
## 301 48 1 0.4319 0.0440 0.3538 0.527
## 303 46 1 0.4225 0.0440 0.3445 0.518
## 306 44 1 0.4129 0.0440 0.3350 0.509
## 310 43 1 0.4033 0.0441 0.3256 0.500
## 320 42 1 0.3937 0.0440 0.3162 0.490
## 329 41 1 0.3841 0.0440 0.3069 0.481
## 337 40 1 0.3745 0.0439 0.2976 0.471
## 353 39 2 0.3553 0.0437 0.2791 0.452
## 363 37 1 0.3457 0.0436 0.2700 0.443
## 364 36 1 0.3361 0.0434 0.2609 0.433
## 371 35 1 0.3265 0.0432 0.2519 0.423
## 387 34 1 0.3169 0.0430 0.2429 0.413
## 390 33 1 0.3073 0.0428 0.2339 0.404
## 394 32 1 0.2977 0.0425 0.2250 0.394
## 428 29 1 0.2874 0.0423 0.2155 0.383
## 429 28 1 0.2771 0.0420 0.2060 0.373
## 442 27 1 0.2669 0.0417 0.1965 0.362
## 455 25 1 0.2562 0.0413 0.1868 0.351
## 457 24 1 0.2455 0.0410 0.1770 0.341
## 460 22 1 0.2344 0.0406 0.1669 0.329
## 477 21 1 0.2232 0.0402 0.1569 0.318
## 519 20 1 0.2121 0.0397 0.1469 0.306
## 524 19 1 0.2009 0.0391 0.1371 0.294
## 533 18 1 0.1897 0.0385 0.1275 0.282
## 558 17 1 0.1786 0.0378 0.1179 0.270
## 567 16 1 0.1674 0.0371 0.1085 0.258
## 574 15 1 0.1562 0.0362 0.0992 0.246
## 583 14 1 0.1451 0.0353 0.0900 0.234
## 613 13 1 0.1339 0.0343 0.0810 0.221
## 624 12 1 0.1228 0.0332 0.0722 0.209
## 643 11 1 0.1116 0.0320 0.0636 0.196
## 655 10 1 0.1004 0.0307 0.0552 0.183
## 689 9 1 0.0893 0.0293 0.0470 0.170
## 707 8 1 0.0781 0.0276 0.0390 0.156
## 791 7 1 0.0670 0.0259 0.0314 0.143
## 814 5 1 0.0536 0.0239 0.0223 0.128
## 883 3 1 0.0357 0.0216 0.0109 0.117
##
## sex=2
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 5 90 1 0.9889 0.0110 0.9675 1.000
## 60 89 1 0.9778 0.0155 0.9478 1.000
## 61 88 1 0.9667 0.0189 0.9303 1.000
## 62 87 1 0.9556 0.0217 0.9139 0.999
## 79 86 1 0.9444 0.0241 0.8983 0.993
## 81 85 1 0.9333 0.0263 0.8832 0.986
## 95 83 1 0.9221 0.0283 0.8683 0.979
## 107 81 1 0.9107 0.0301 0.8535 0.972
## 122 80 1 0.8993 0.0318 0.8390 0.964
## 145 79 2 0.8766 0.0349 0.8108 0.948
## 153 77 1 0.8652 0.0362 0.7970 0.939
## 166 76 1 0.8538 0.0375 0.7834 0.931
## 167 75 1 0.8424 0.0387 0.7699 0.922
## 182 71 1 0.8305 0.0399 0.7559 0.913
## 186 70 1 0.8187 0.0411 0.7420 0.903
## 194 68 1 0.8066 0.0422 0.7280 0.894
## 199 67 1 0.7946 0.0432 0.7142 0.884
## 201 66 2 0.7705 0.0452 0.6869 0.864
## 208 62 1 0.7581 0.0461 0.6729 0.854
## 226 59 1 0.7452 0.0471 0.6584 0.843
## 239 57 1 0.7322 0.0480 0.6438 0.833
## 245 54 1 0.7186 0.0490 0.6287 0.821
## 268 51 1 0.7045 0.0501 0.6129 0.810
## 285 47 1 0.6895 0.0512 0.5962 0.798
## 293 45 1 0.6742 0.0523 0.5791 0.785
## 305 43 1 0.6585 0.0534 0.5618 0.772
## 310 42 1 0.6428 0.0544 0.5447 0.759
## 340 39 1 0.6264 0.0554 0.5267 0.745
## 345 38 1 0.6099 0.0563 0.5089 0.731
## 348 37 1 0.5934 0.0572 0.4913 0.717
## 350 36 1 0.5769 0.0579 0.4739 0.702
## 351 35 1 0.5604 0.0586 0.4566 0.688
## 361 33 1 0.5434 0.0592 0.4390 0.673
## 363 32 1 0.5265 0.0597 0.4215 0.658
## 371 30 1 0.5089 0.0603 0.4035 0.642
## 426 26 1 0.4893 0.0610 0.3832 0.625
## 433 25 1 0.4698 0.0617 0.3632 0.608
## 444 24 1 0.4502 0.0621 0.3435 0.590
## 450 23 1 0.4306 0.0624 0.3241 0.572
## 473 22 1 0.4110 0.0626 0.3050 0.554
## 520 19 1 0.3894 0.0629 0.2837 0.534
## 524 18 1 0.3678 0.0630 0.2628 0.515
## 550 15 1 0.3433 0.0634 0.2390 0.493
## 641 11 1 0.3121 0.0649 0.2076 0.469
## 654 10 1 0.2808 0.0655 0.1778 0.443
## 687 9 1 0.2496 0.0652 0.1496 0.417
## 705 8 1 0.2184 0.0641 0.1229 0.388
## 728 7 1 0.1872 0.0621 0.0978 0.359
## 731 6 1 0.1560 0.0590 0.0743 0.328
## 735 5 1 0.1248 0.0549 0.0527 0.295
## 765 3 1 0.0832 0.0499 0.0257 0.270
```
]
---
# Two column layout
.pull-right[
* Some points
* More points
* Even more points
* The slide is divided into 2 equal parts and text, bullet points, or images can be pasted in either one
]
.pull-left[
* the image
* another image
]
---
# GGplot2 graphs
.pull-right[
```r
ggplot(mtcars, aes(x = mpg, y = hp, color = factor(gear))) + geom_point() + scale_color_manual(values = gla) + theme_gla()
```
<!-- -->
]
.pull-left[
* ggplot2 graphs can also be placed in the half column
]
---
# Context boxes
.content-box-blue[This is point 1]
--
.content-box-green[This is point 2]
--
.content-box-army[This is point 3]
--
.blockquote[- CSS & HTML are the bomb
- More information ]
---
# Change text colors
* Using text colors css, we can change the text colors.
.text-cobalt[Blue colored text]
--
.text-thistle[Thistle colored text]
--
## .text-rust[Rust colored text] - This is a 2nd level header
--
.text-moss[Moss colored text]
--
* To change the color of italic font
_.text-thistle[some thistle colored italic font]_
---
# Animated Graphs
* Animated graphs and interactive graphs using plotly and gganimate can be embedded into slides
</textarea>
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