Test tutorial

library(dplyr)

## Warning: package 'dplyr' was built under R version 4.1.2

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

grades <- data.frame(
    student = c("al", "bo", "cindy", "dan", "ella", "frank", "gina", "henry"), 
    school = c(rep("stanford", 4), rep("berkley", 4)),
    sat_score = c(750, 730, 690, 800, 780, 720, 730, 700)
    )

bla bla

grades %>%
    group_by(school) %>%
    summarize(mean(sat_score))

## # A tibble: 2 × 2
##   school   `mean(sat_score)`
##   <chr>                <dbl>
## 1 berkley               732.
## 2 stanford              742.

summary(cars)

##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

print(inputFile)

## [1] "/Users/mariokeller/privat/mchicken1988.github.io/tutorials_Rmds/2023-01-07-test_tutorial.Rmd"

library(ggplot2)
ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(color = class)) +
  geom_smooth(se = FALSE, method = "loess") +
  labs(
    title = "Fuel efficiency generally decreases with engine size",
    subtitle = "Two seaters (sports cars) are an exception because of their light weight",
    caption = "Data from fueleconomy.gov"
  )

## `geom_smooth()` using formula 'y ~ x'

Session Information

sessionInfo()

## R version 4.1.0 (2021-05-18)
## Platform: x86_64-apple-darwin17.0 (64-bit)
## Running under: macOS Big Sur 10.16
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRblas.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
## 
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] ggplot2_3.3.5 dplyr_1.0.9  
## 
## loaded via a namespace (and not attached):
##  [1] highr_0.9              compiler_4.1.0         pillar_1.8.0          
##  [4] GenomeInfoDb_1.29.8    XVector_0.33.0         bitops_1.0-7          
##  [7] tools_4.1.0            zlibbioc_1.39.0        digest_0.6.28         
## [10] lattice_0.20-45        nlme_3.1-153           gtable_0.3.0          
## [13] evaluate_0.14          lifecycle_1.0.1        tibble_3.1.8          
## [16] mgcv_1.8-37            pkgconfig_2.0.3        rlang_1.0.4           
## [19] Matrix_1.3-4           DBI_1.1.1              cli_3.3.0             
## [22] rstudioapi_0.13        yaml_2.2.1             xfun_0.26             
## [25] fastmap_1.1.0          GenomeInfoDbData_1.2.7 withr_2.4.2           
## [28] stringr_1.4.0          knitr_1.36             Biostrings_2.61.2     
## [31] generics_0.1.0         S4Vectors_0.31.4       vctrs_0.4.1           
## [34] IRanges_2.27.2         grid_4.1.0             stats4_4.1.0          
## [37] tidyselect_1.1.1       glue_1.6.2             R6_2.5.1              
## [40] fansi_0.5.0            rmarkdown_2.11         farver_2.1.0          
## [43] purrr_0.3.4            magrittr_2.0.1         splines_4.1.0         
## [46] scales_1.1.1           htmltools_0.5.2        BiocGenerics_0.39.2   
## [49] assertthat_0.2.1       colorspace_2.0-2       labeling_0.4.2        
## [52] utf8_1.2.2             stringi_1.7.4          munsell_0.5.0         
## [55] RCurl_1.98-1.5         crayon_1.5.1