Summer_School_Padova

Author

F. Carabba

first section

See code 
3+3
[1] 6

first subsection

See code 
head(data)
   anxiety flexibility mindfulness activity
1 50.17244    44.39524          no  pilates
2 31.47451    47.69823         yes    altro
3 34.03981    65.58708          no  pilates
4 37.06712    50.70508          no    altro
5 48.30549    51.29288          no    altro
6 16.94087    67.15065         yes    altro
    anxiety        flexibility    mindfulness          activity        
 Min.   : 1.483   Min.   :26.91   Length:300         Length:300        
 1st Qu.:25.977   1st Qu.:44.24   Class :character   Class :character  
 Median :33.922   Median :49.56   Mode  :character   Mode  :character  
 Mean   :33.418   Mean   :50.34                                        
 3rd Qu.:41.974   3rd Qu.:56.32                                        
 Max.   :64.775   Max.   :82.41
See code 
```{r}
str(data)
summary(data)
```
1
bla bla 
'data.frame':   300 obs. of  4 variables:
 $ anxiety    : num  50.2 31.5 34 37.1 48.3 ...
 $ flexibility: num  44.4 47.7 65.6 50.7 51.3 ...
 $ mindfulness: chr  "no" "yes" "no" "no" ...
 $ activity   : chr  "pilates" "altro" "pilates" "altro" ...
    anxiety        flexibility    mindfulness          activity        
 Min.   : 1.483   Min.   :26.91   Length:300         Length:300        
 1st Qu.:25.977   1st Qu.:44.24   Class :character   Class :character  
 Median :33.922   Median :49.56   Mode  :character   Mode  :character  
 Mean   :33.418   Mean   :50.34                                        
 3rd Qu.:41.974   3rd Qu.:56.32                                        
 Max.   :64.775   Max.   :82.41

first sub-subsection

plot This is an image come metto una didascalia?

second subsection

ecco un altro grafico This is an image

first sub-subsection

Come posso cambiare stile di citazione? Come posso mettere un didascalia ad un’immagine? Come posso aggiungere file PDF o file xlsx?

See code 
kable(mtcars) %>%
  scroll_box(height = "450px", width = "100%")
mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
See code 
datatable(mtcars)

Table 1 illustrates a table

See code 
```{r}
#| label: tbl-iris
#| tbl-cap: "Iris Data"
#| code-line-numbers: "|2|3|"

kable(head(iris))
```
Table 1: Iris Data
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
5.1 3.5 1.4 0.2 setosa
4.9 3.0 1.4 0.2 setosa
4.7 3.2 1.3 0.2 setosa
4.6 3.1 1.5 0.2 setosa
5.0 3.6 1.4 0.2 setosa
5.4 3.9 1.7 0.4 setosa
Listing 1: Basic use of the plot() function 
plot(cars)

Listing 1 illustrates a basic use of the function plot()

second section

Ecco la mia tesi magistrale https://hdl.handle.net/20.500.12608/74649

first subsection

grassetto corsivo

Images & Graphs

Figure 1 linea mentale numerica

See code 
knitr::include_graphics("Picture/Screenshot 2024-09-01 143156.png")
Figure 1: linea mentale numerica due modelli

Figure 2 a plot for our beatiful dataframe

ggplot(data, 
       aes(x = flexibility, y = anxiety, color = mindfulness))+
  geom_point()+
    theme(
    axis.title.x = element_text(size = 16),  # ingrandisce il label dell'asse X
    axis.title.y = element_text(size = 16),  # ingrandisce il label dell'asse Y
  )
Listing 2: Basic use of the ggplot() function
Figure 2: A plot for the data dataframe

Listing 2 illustrates a basic use of the function plot()

second subsection

Cito altro Klomjai, Katz, and Lackmy-Vallée (2015)

Klomjai, Wanalee, Rose Katz, and Alexandra Lackmy-Vallée. 2015. “Basic Principles of Transcranial Magnetic Stimulation (TMS) and Repetitive TMS (rTMS).” Annals of Physical and Rehabilitation Medicine 58 (4): 208–13.

third section

My link is here

https://github.com/Oscurofra

first subsection

Cito qualcoosa Valero-Cabré et al. (2017)

Valero-Cabré, Antoni, Julià L Amengual, Chloé Stengel, Alvaro Pascual-Leone, and Olivier A Coubard. 2017. “Transcranial Magnetic Stimulation in Basic and Clinical Neuroscience: A Comprehensive Review of Fundamental Principles and Novel Insights.” Neuroscience & Biobehavioral Reviews 83: 381–404.

#linear model

this is a linear model “equazione del modello lineare”

See code 
lm(hp ~ mpg*am, data = mtcars)

Call:
lm(formula = hp ~ mpg * am, data = mtcars)

Coefficients:
(Intercept)          mpg           am       mpg:am  
   360.7425     -11.6916      32.3404       0.7768

Mettere unq tabella a fianco di un grafico, due immagini a fianco, tue tabelle a fianco

In alternativa a out-width: 100% possiamo usare column: screen-inset-shaded che lo spalma su tutto lo schermo

See code 
ggplot(data, 
       aes(x = flexibility, y = anxiety, color = mindfulness))+
  geom_point()+
    theme(
    axis.title.x = element_text(size = 16),  # ingrandisce il label dell'asse X
    axis.title.y = element_text(size = 16),  # ingrandisce il label dell'asse Y
  )
kable(data) %>%
  scroll_box(height = "450px", width = "100%")

anxiety flexibility mindfulness activity
50.172440 44.39524 no pilates
31.474508 47.69823 yes altro
34.039807 65.58708 no pilates
37.067120 50.70508 no altro
48.305488 51.29288 no altro
16.940874 67.15065 yes altro
36.411704 54.60916 no pilates
28.795300 37.34939 yes pilates
43.935452 43.13147 no pilates
34.983004 45.54338 no yoga
11.446275 62.24082 yes yoga
29.112931 53.59814 no yoga
48.434090 54.00771 no pilates
29.145208 51.10683 yes altro
31.265613 44.44159 yes yoga
1.483110 67.86913 yes pilates
24.249057 54.97850 yes altro
40.388909 30.33383 yes altro
10.975878 57.01356 yes yoga
47.097003 45.27209 no yoga
27.398356 39.32176 yes pilates
25.117776 47.82025 yes yoga
33.414213 39.73996 yes yoga
46.535407 42.71109 no pilates
43.748919 43.74961 no altro
58.139296 33.13307 no altro
33.664005 58.37787 no yoga
23.608899 51.53373 yes altro
35.750439 38.61863 no yoga
46.164513 62.53815 no pilates
20.622235 54.26464 yes pilates
14.787642 47.04929 yes yoga
40.190669 58.95126 no pilates
25.404217 58.78133 yes altro
31.122923 58.21581 no pilates
23.842017 56.88640 no yoga
25.541064 55.53918 yes altro
33.130363 49.38088 yes pilates
32.322359 46.94037 yes pilates
36.437668 46.19529 no yoga
27.692008 43.05293 yes pilates
32.810755 47.92083 yes altro
31.644541 37.34604 yes yoga
37.303779 71.68956 no altro
28.981200 62.07962 no yoga
34.358530 38.76891 yes yoga
28.666136 45.97115 yes altro
37.680553 45.33345 no yoga
44.804247 57.79965 no altro
27.533441 49.16631 yes yoga
18.534247 52.53319 yes altro
22.735779 49.71453 yes yoga
45.258247 49.57130 no pilates
5.165662 63.68602 yes yoga
25.983525 47.74229 yes yoga
12.243834 65.16471 yes pilates
45.942535 34.51247 yes altro
36.769341 55.84614 no yoga
32.978282 51.23854 yes altro
44.523889 52.15942 no altro
31.660766 53.79639 yes altro
40.418837 44.97677 yes altro
56.497277 46.66793 no altro
28.988052 39.81425 yes yoga
36.113701 39.28209 no pilates
43.639987 53.03529 no altro
27.890338 54.48210 yes altro
35.958252 50.53004 no yoga
23.385571 59.22267 yes pilates
39.802966 70.50085 no altro
41.865244 45.08969 no pilates
36.693706 26.90831 yes yoga
38.960518 60.05739 no pilates
37.794885 42.90799 no yoga
40.896380 43.11991 no yoga
13.012462 60.25571 yes altro
23.393912 47.15227 yes pilates
36.464811 37.79282 no yoga
31.825364 51.81303 no yoga
42.227934 48.61109 no altro
31.871176 50.05764 yes altro
29.213602 53.85280 yes pilates
25.957703 46.29340 yes pilates
20.505169 56.44377 yes altro
23.334962 47.79513 yes pilates
22.604583 53.31782 yes pilates
13.126982 60.96839 yes yoga
37.242180 54.35181 no yoga
37.023034 46.74068 no yoga
28.863516 61.48808 no altro
31.575309 59.93504 no yoga
24.097155 55.48397 yes yoga
34.286884 52.38732 yes altro
44.194714 43.72094 no altro
30.457855 63.60652 no altro
43.492120 43.99740 yes pilates
33.251225 71.87333 no altro
28.849691 65.32611 no yoga
45.281373 47.64300 no pilates
34.061907 39.73579 no yoga
23.331750 42.89593 yes yoga
36.013369 52.56884 no altro
34.767986 47.53308 no yoga
30.027045 46.52457 yes pilates
39.934545 40.48381 no pilates
33.265107 49.54972 yes altro
33.941051 42.15096 yes pilates
40.818635 33.32058 no yoga
40.032757 46.19773 no yoga
44.145423 59.18997 no altro
39.332905 44.24653 yes altro
16.680008 56.07964 yes yoga
32.856995 33.82117 yes yoga
29.955363 49.44438 yes altro
41.610273 55.19407 no yoga
46.119593 53.01153 no pilates
48.643627 51.05676 no altro
46.766826 43.59294 no altro
37.814138 41.50296 yes altro
44.137096 39.75871 no yoga
39.203401 51.17647 no altro
24.990800 40.52525 yes pilates
36.643052 45.09443 yes altro
16.146093 47.43908 yes yoga
14.101384 68.43862 yes pilates
27.814888 43.48050 yes yoga
31.171631 52.35387 yes altro
30.401405 50.77961 yes altro
25.068727 40.38143 yes yoga
50.288370 49.28692 no altro
38.470414 64.44551 no yoga
31.245366 54.51504 yes altro
19.993115 50.41233 yes altro
31.955359 45.77503 yes yoga
54.985956 29.46753 no altro
41.967885 61.31337 no altro
35.334647 35.39360 yes yoga
24.336937 57.39948 yes altro
35.078166 69.09104 no altro
57.315251 35.56107 no altro
25.645519 57.01784 yes pilates
48.262299 47.37803 no pilates
64.775354 34.27856 no altro
43.924753 34.85332 yes altro
46.044587 33.98464 no yoga
14.663180 44.69093 yes yoga
45.690859 35.38244 yes yoga
31.147032 56.87917 no yoga
24.172911 71.00109 yes pilates
37.882431 37.12970 yes pilates
45.753457 57.87739 no pilates
37.606237 57.69042 no pilates
42.896341 53.32203 no pilates
51.111673 39.91623 no altro
29.905565 48.80547 yes altro
37.800008 47.19605 no yoga
47.249224 55.62990 no altro
23.599781 46.27561 yes yoga
21.926721 59.76973 no yoga
42.893458 46.25419 no pilates
22.329973 60.52711 yes pilates
45.328164 39.50823 no yoga
33.903926 37.39845 yes yoga
12.334293 82.41040 no yoga
26.761713 45.83142 yes yoga
45.348158 52.98228 no pilates
48.200045 56.36570 no altro
38.294097 45.16219 no yoga
21.772503 55.16862 yes pilates
34.856437 53.68965 yes altro
20.168023 47.84619 yes pilates
24.358799 50.65293 yes pilates
29.525781 49.65933 yes pilates
4.011968 71.28452 yes pilates
50.104820 42.58664 no altro
59.869301 39.04004 no altro
36.790755 50.37788 no yoga
34.055326 53.10481 no yoga
29.318894 54.36523 yes altro
23.813197 45.41635 yes yoga
46.383632 39.36674 no yoga
17.679881 62.63185 yes yoga
38.761710 46.50350 no yoga
30.175129 41.34487 yes altro
22.062853 47.63720 yes pilates
35.020893 48.02824 no yoga
35.437301 61.09920 no yoga
26.785288 50.84737 no yoga
28.798105 57.54054 no pilates
30.226145 45.00708 yes altro
27.470857 52.14445 yes pilates
19.704971 46.75314 yes yoga
40.960828 50.94584 no yoga
43.143667 41.04637 no yoga
35.322413 36.89198 yes pilates
36.108074 69.97213 no pilates
40.938282 56.00709 no pilates
49.026682 37.48729 no altro
41.211404 43.88834 no yoga
46.164967 38.14520 no yoga
32.787365 71.98810 no pilates
32.147884 63.12413 no pilates
42.601736 47.34855 no yoga
45.048711 55.43194 no pilates
45.453072 45.85660 no pilates
34.054252 45.23753 yes altro
48.564889 42.11397 no altro
55.780166 44.05383 no pilates
16.825225 66.50907 yes pilates
29.586727 49.45972 yes altro
23.864185 51.19245 no yoga
17.467779 52.43687 yes pilates
38.449255 62.32476 no altro
26.643917 44.83936 yes yoga
30.331912 40.07493 yes yoga
32.729049 66.75697 no yoga
46.235054 45.58837 no altro
51.688274 42.76934 no pilates
26.046332 37.63727 yes yoga
32.950797 37.15284 yes altro
19.872884 44.26027 yes yoga
37.621556 56.17986 no yoga
18.816463 61.09848 yes pilates
20.995971 57.07588 yes yoga
23.207069 46.36343 yes yoga
33.741790 50.59750 no yoga
43.681219 42.95404 no pilates
39.323007 42.82782 no altro
26.728671 58.84651 no yoga
29.898975 39.84407 yes altro
40.495142 69.55294 no altro
24.645587 49.09680 yes pilates
44.874605 52.14539 no pilates
42.752147 42.61472 yes altro
30.061847 44.25611 yes pilates
37.638508 36.82984 yes pilates
14.525140 48.17075 yes yoga
14.973774 54.18982 yes yoga
43.659552 53.24304 no altro
42.403117 42.18464 no yoga
28.723363 42.11378 yes pilates
46.939686 44.97801 yes altro
9.235625 64.96061 yes yoga
48.007736 38.62696 no pilates
26.502320 48.20948 yes yoga
35.358098 69.02362 no altro
27.488987 48.99025 yes altro
57.025732 36.40159 no altro
48.401574 43.35231 no yoga
34.424230 54.85460 no yoga
46.689351 46.24397 no pilates
33.446072 44.38124 yes altro
34.489697 46.56083 yes pilates
20.585687 50.90497 yes pilates
30.414740 65.98509 yes altro
34.425169 49.11435 no yoga
7.140156 60.80799 yes yoga
37.091640 56.30754 no pilates
46.301742 48.86360 no altro
40.848420 34.67098 yes yoga
44.161635 44.78883 no yoga
40.161644 45.10130 no yoga
22.722501 50.47154 yes altro
26.168818 63.00199 no yoga
5.132022 72.93079 yes yoga
42.027225 65.47581 no yoga
36.364617 48.66849 no altro
51.437910 32.43473 no yoga
22.085288 46.11220 yes yoga
34.705504 50.89207 yes pilates
35.078932 58.45013 no altro
40.905476 59.62528 no altro
19.712079 56.84309 yes altro
41.284503 36.04726 yes pilates
23.471396 58.49643 yes yoga
42.879506 45.53443 yes altro
45.113990 51.74803 no pilates
30.694473 50.74551 yes yoga
25.234952 54.28167 yes yoga
29.167901 50.24675 yes altro
47.722562 33.32525 no yoga
11.984557 57.36496 yes yoga
26.371803 53.86027 yes altro
49.433077 47.34348 no pilates
28.879409 51.18145 yes pilates
23.348516 51.34039 yes yoga
30.704248 52.21019 no yoga
30.773203 66.40846 no pilates
42.272222 47.80950 no altro
46.136152 51.68065 no altro
8.868775 61.68384 yes yoga
25.430940 60.54181 yes altro
16.401076 61.45263 yes altro
40.184928 44.22532 yes pilates
10.285578 70.02483 yes yoga
18.028076 50.66701 yes yoga
33.870970 68.66852 no pilates
41.992247 36.49097 no yoga
43.750822 50.20984 no pilates
14.468262 62.49915 yes yoga

Figure 3 illustrates different things. Figure 3 (a) illustrates the data, Figure 3 (b) illustrates the polynomial model

See code 
ggplot(data, 
       aes(x = flexibility, y = anxiety, color = mindfulness))+
  geom_point()+
    theme(
    axis.title.x = element_text(size = 16),  # ingrandisce il label dell'asse X
    axis.title.y = element_text(size = 16),  # ingrandisce il label dell'asse Y
  )

ggplot(data, 
       aes(x = flexibility, y = anxiety, color = mindfulness))+
  geom_point()+
  geom_smooth()+
    theme(
    axis.title.x = element_text(size = 16),  # ingrandisce il label dell'asse X
    axis.title.y = element_text(size = 16),  # ingrandisce il label dell'asse Y
  )
(a) The data
(b) Polynomial
Figure 3: One dataset, different models

Table 2 presents two datasets: Table 2 (a) is cars and Table 2 (b) is pressure

See code 
kable(data) %>%
  scroll_box(height = "700px", width = "100%")
kable(mtcars) %>%
  scroll_box(height = "700px", width = "100%")
Table 2: Datasets
(a) My data
anxiety flexibility mindfulness activity
50.172440 44.39524 no pilates
31.474508 47.69823 yes altro
34.039807 65.58708 no pilates
37.067120 50.70508 no altro
48.305488 51.29288 no altro
16.940874 67.15065 yes altro
36.411704 54.60916 no pilates
28.795300 37.34939 yes pilates
43.935452 43.13147 no pilates
34.983004 45.54338 no yoga
11.446275 62.24082 yes yoga
29.112931 53.59814 no yoga
48.434090 54.00771 no pilates
29.145208 51.10683 yes altro
31.265613 44.44159 yes yoga
1.483110 67.86913 yes pilates
24.249057 54.97850 yes altro
40.388909 30.33383 yes altro
10.975878 57.01356 yes yoga
47.097003 45.27209 no yoga
27.398356 39.32176 yes pilates
25.117776 47.82025 yes yoga
33.414213 39.73996 yes yoga
46.535407 42.71109 no pilates
43.748919 43.74961 no altro
58.139296 33.13307 no altro
33.664005 58.37787 no yoga
23.608899 51.53373 yes altro
35.750439 38.61863 no yoga
46.164513 62.53815 no pilates
20.622235 54.26464 yes pilates
14.787642 47.04929 yes yoga
40.190669 58.95126 no pilates
25.404217 58.78133 yes altro
31.122923 58.21581 no pilates
23.842017 56.88640 no yoga
25.541064 55.53918 yes altro
33.130363 49.38088 yes pilates
32.322359 46.94037 yes pilates
36.437668 46.19529 no yoga
27.692008 43.05293 yes pilates
32.810755 47.92083 yes altro
31.644541 37.34604 yes yoga
37.303779 71.68956 no altro
28.981200 62.07962 no yoga
34.358530 38.76891 yes yoga
28.666136 45.97115 yes altro
37.680553 45.33345 no yoga
44.804247 57.79965 no altro
27.533441 49.16631 yes yoga
18.534247 52.53319 yes altro
22.735779 49.71453 yes yoga
45.258247 49.57130 no pilates
5.165662 63.68602 yes yoga
25.983525 47.74229 yes yoga
12.243834 65.16471 yes pilates
45.942535 34.51247 yes altro
36.769341 55.84614 no yoga
32.978282 51.23854 yes altro
44.523889 52.15942 no altro
31.660766 53.79639 yes altro
40.418837 44.97677 yes altro
56.497277 46.66793 no altro
28.988052 39.81425 yes yoga
36.113701 39.28209 no pilates
43.639987 53.03529 no altro
27.890338 54.48210 yes altro
35.958252 50.53004 no yoga
23.385571 59.22267 yes pilates
39.802966 70.50085 no altro
41.865244 45.08969 no pilates
36.693706 26.90831 yes yoga
38.960518 60.05739 no pilates
37.794885 42.90799 no yoga
40.896380 43.11991 no yoga
13.012462 60.25571 yes altro
23.393912 47.15227 yes pilates
36.464811 37.79282 no yoga
31.825364 51.81303 no yoga
42.227934 48.61109 no altro
31.871176 50.05764 yes altro
29.213602 53.85280 yes pilates
25.957703 46.29340 yes pilates
20.505169 56.44377 yes altro
23.334962 47.79513 yes pilates
22.604583 53.31782 yes pilates
13.126982 60.96839 yes yoga
37.242180 54.35181 no yoga
37.023034 46.74068 no yoga
28.863516 61.48808 no altro
31.575309 59.93504 no yoga
24.097155 55.48397 yes yoga
34.286884 52.38732 yes altro
44.194714 43.72094 no altro
30.457855 63.60652 no altro
43.492120 43.99740 yes pilates
33.251225 71.87333 no altro
28.849691 65.32611 no yoga
45.281373 47.64300 no pilates
34.061907 39.73579 no yoga
23.331750 42.89593 yes yoga
36.013369 52.56884 no altro
34.767986 47.53308 no yoga
30.027045 46.52457 yes pilates
39.934545 40.48381 no pilates
33.265107 49.54972 yes altro
33.941051 42.15096 yes pilates
40.818635 33.32058 no yoga
40.032757 46.19773 no yoga
44.145423 59.18997 no altro
39.332905 44.24653 yes altro
16.680008 56.07964 yes yoga
32.856995 33.82117 yes yoga
29.955363 49.44438 yes altro
41.610273 55.19407 no yoga
46.119593 53.01153 no pilates
48.643627 51.05676 no altro
46.766826 43.59294 no altro
37.814138 41.50296 yes altro
44.137096 39.75871 no yoga
39.203401 51.17647 no altro
24.990800 40.52525 yes pilates
36.643052 45.09443 yes altro
16.146093 47.43908 yes yoga
14.101384 68.43862 yes pilates
27.814888 43.48050 yes yoga
31.171631 52.35387 yes altro
30.401405 50.77961 yes altro
25.068727 40.38143 yes yoga
50.288370 49.28692 no altro
38.470414 64.44551 no yoga
31.245366 54.51504 yes altro
19.993115 50.41233 yes altro
31.955359 45.77503 yes yoga
54.985956 29.46753 no altro
41.967885 61.31337 no altro
35.334647 35.39360 yes yoga
24.336937 57.39948 yes altro
35.078166 69.09104 no altro
57.315251 35.56107 no altro
25.645519 57.01784 yes pilates
48.262299 47.37803 no pilates
64.775354 34.27856 no altro
43.924753 34.85332 yes altro
46.044587 33.98464 no yoga
14.663180 44.69093 yes yoga
45.690859 35.38244 yes yoga
31.147032 56.87917 no yoga
24.172911 71.00109 yes pilates
37.882431 37.12970 yes pilates
45.753457 57.87739 no pilates
37.606237 57.69042 no pilates
42.896341 53.32203 no pilates
51.111673 39.91623 no altro
29.905565 48.80547 yes altro
37.800008 47.19605 no yoga
47.249224 55.62990 no altro
23.599781 46.27561 yes yoga
21.926721 59.76973 no yoga
42.893458 46.25419 no pilates
22.329973 60.52711 yes pilates
45.328164 39.50823 no yoga
33.903926 37.39845 yes yoga
12.334293 82.41040 no yoga
26.761713 45.83142 yes yoga
45.348158 52.98228 no pilates
48.200045 56.36570 no altro
38.294097 45.16219 no yoga
21.772503 55.16862 yes pilates
34.856437 53.68965 yes altro
20.168023 47.84619 yes pilates
24.358799 50.65293 yes pilates
29.525781 49.65933 yes pilates
4.011968 71.28452 yes pilates
50.104820 42.58664 no altro
59.869301 39.04004 no altro
36.790755 50.37788 no yoga
34.055326 53.10481 no yoga
29.318894 54.36523 yes altro
23.813197 45.41635 yes yoga
46.383632 39.36674 no yoga
17.679881 62.63185 yes yoga
38.761710 46.50350 no yoga
30.175129 41.34487 yes altro
22.062853 47.63720 yes pilates
35.020893 48.02824 no yoga
35.437301 61.09920 no yoga
26.785288 50.84737 no yoga
28.798105 57.54054 no pilates
30.226145 45.00708 yes altro
27.470857 52.14445 yes pilates
19.704971 46.75314 yes yoga
40.960828 50.94584 no yoga
43.143667 41.04637 no yoga
35.322413 36.89198 yes pilates
36.108074 69.97213 no pilates
40.938282 56.00709 no pilates
49.026682 37.48729 no altro
41.211404 43.88834 no yoga
46.164967 38.14520 no yoga
32.787365 71.98810 no pilates
32.147884 63.12413 no pilates
42.601736 47.34855 no yoga
45.048711 55.43194 no pilates
45.453072 45.85660 no pilates
34.054252 45.23753 yes altro
48.564889 42.11397 no altro
55.780166 44.05383 no pilates
16.825225 66.50907 yes pilates
29.586727 49.45972 yes altro
23.864185 51.19245 no yoga
17.467779 52.43687 yes pilates
38.449255 62.32476 no altro
26.643917 44.83936 yes yoga
30.331912 40.07493 yes yoga
32.729049 66.75697 no yoga
46.235054 45.58837 no altro
51.688274 42.76934 no pilates
26.046332 37.63727 yes yoga
32.950797 37.15284 yes altro
19.872884 44.26027 yes yoga
37.621556 56.17986 no yoga
18.816463 61.09848 yes pilates
20.995971 57.07588 yes yoga
23.207069 46.36343 yes yoga
33.741790 50.59750 no yoga
43.681219 42.95404 no pilates
39.323007 42.82782 no altro
26.728671 58.84651 no yoga
29.898975 39.84407 yes altro
40.495142 69.55294 no altro
24.645587 49.09680 yes pilates
44.874605 52.14539 no pilates
42.752147 42.61472 yes altro
30.061847 44.25611 yes pilates
37.638508 36.82984 yes pilates
14.525140 48.17075 yes yoga
14.973774 54.18982 yes yoga
43.659552 53.24304 no altro
42.403117 42.18464 no yoga
28.723363 42.11378 yes pilates
46.939686 44.97801 yes altro
9.235625 64.96061 yes yoga
48.007736 38.62696 no pilates
26.502320 48.20948 yes yoga
35.358098 69.02362 no altro
27.488987 48.99025 yes altro
57.025732 36.40159 no altro
48.401574 43.35231 no yoga
34.424230 54.85460 no yoga
46.689351 46.24397 no pilates
33.446072 44.38124 yes altro
34.489697 46.56083 yes pilates
20.585687 50.90497 yes pilates
30.414740 65.98509 yes altro
34.425169 49.11435 no yoga
7.140156 60.80799 yes yoga
37.091640 56.30754 no pilates
46.301742 48.86360 no altro
40.848420 34.67098 yes yoga
44.161635 44.78883 no yoga
40.161644 45.10130 no yoga
22.722501 50.47154 yes altro
26.168818 63.00199 no yoga
5.132022 72.93079 yes yoga
42.027225 65.47581 no yoga
36.364617 48.66849 no altro
51.437910 32.43473 no yoga
22.085288 46.11220 yes yoga
34.705504 50.89207 yes pilates
35.078932 58.45013 no altro
40.905476 59.62528 no altro
19.712079 56.84309 yes altro
41.284503 36.04726 yes pilates
23.471396 58.49643 yes yoga
42.879506 45.53443 yes altro
45.113990 51.74803 no pilates
30.694473 50.74551 yes yoga
25.234952 54.28167 yes yoga
29.167901 50.24675 yes altro
47.722562 33.32525 no yoga
11.984557 57.36496 yes yoga
26.371803 53.86027 yes altro
49.433077 47.34348 no pilates
28.879409 51.18145 yes pilates
23.348516 51.34039 yes yoga
30.704248 52.21019 no yoga
30.773203 66.40846 no pilates
42.272222 47.80950 no altro
46.136152 51.68065 no altro
8.868775 61.68384 yes yoga
25.430940 60.54181 yes altro
16.401076 61.45263 yes altro
40.184928 44.22532 yes pilates
10.285578 70.02483 yes yoga
18.028076 50.66701 yes yoga
33.870970 68.66852 no pilates
41.992247 36.49097 no yoga
43.750822 50.20984 no pilates
14.468262 62.49915 yes yoga
(b) Other data (matcars)
mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
See code 
ggplot(data, 
       aes(x = flexibility, y = anxiety, color = mindfulness))+
  geom_point()+
    theme(
      axis.title.x = element_text(size = 16),  
      axis.title.y = element_text(size = 16),  
  )

See code 
kable(head(data))
anxiety flexibility mindfulness activity
50.17244 44.39524 no pilates
31.47451 47.69823 yes altro
34.03981 65.58708 no pilates
37.06712 50.70508 no altro
48.30549 51.29288 no altro
16.94087 67.15065 yes altro