Hi. I am brand new to R and I am trying to explore R studio. I have an issue with R markdown and I do not how to solve it. I am trying to run the rmarkdown template , but when I knit a file the output of the "summary(cars)" and the plot do not show up. I would be grateful if you could help.
---
title: "Alexis"
author: "Alexis Karamanos"
date: "18/01/2022"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## R Markdown
This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see <http://rmarkdown.rstudio.com>.
When you click the **Knit** button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
```{r cars}
summary(cars)
```
## Including Plots
You can also embed plots, for example:
```{r pressure, echo=FALSE}
plot(pressure)
```
Note that the `echo = FALSE` parameter was added to the code chunk to prevent printing of the R code that generated the plot.
My session info is;
R version 4.1.1 (2021-08-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)
Matrix products: default
locale:
[1] LC_COLLATE=English_United Kingdom.1252 LC_CTYPE=English_United Kingdom.1252
[3] LC_MONETARY=English_United Kingdom.1252 LC_NUMERIC=C
[5] LC_TIME=English_United Kingdom.1252
attached base packages:
[1] grid stats graphics grDevices utils datasets methods base
other attached packages:
[1] dotwhisker_0.7.4 broom_0.7.11 miceadds_3.11-6 vcov_0.0.1 broom.mixed_0.2.7
[6] lme4_1.1-27.1 Matrix_1.3-4 VIM_6.1.1 colorspace_2.0-2 mice_3.14.0
[11] finalfit_1.0.4 sjlabelled_1.1.8 haven_2.4.3 forcats_0.5.1 stringr_1.4.0
[16] dplyr_1.0.7 purrr_0.3.4 readr_2.1.1 tidyr_1.1.4 tibble_3.1.6
[21] ggplot2_3.3.5 tidyverse_1.3.1 plm_2.4-3
loaded via a namespace (and not attached):
[1] minqa_1.2.4 ellipsis_0.3.2 class_7.3-19 estimability_1.3 ggstance_0.3.5
[6] parameters_0.16.0 fs_1.5.2 rstudioapi_0.13 proxy_0.4-26 farver_2.1.0
[11] fansi_0.5.0 mvtnorm_1.1-3 lubridate_1.8.0 ranger_0.13.1 xml2_1.3.3
[16] splines_4.1.1 robustbase_0.93-9 knitr_1.37 Formula_1.2-4 jsonlite_1.7.2
[21] nloptr_1.2.2.3 dbplyr_2.1.1 compiler_4.1.1 httr_1.4.2 emmeans_1.7.2
[26] backports_1.4.1 assertthat_0.2.1 fastmap_1.1.0 cli_3.1.0 htmltools_0.5.2
[31] tools_4.1.1 coda_0.19-4 gtable_0.3.0 glue_1.6.0 Rcpp_1.0.7
[36] carData_3.0-5 cellranger_1.1.0 vctrs_0.3.8 nlme_3.1-152 lmtest_0.9-39
[41] insight_0.15.0 xfun_0.29 laeken_0.5.2 rbibutils_2.2.7 rvest_1.0.2
[46] lifecycle_1.0.1 DEoptimR_1.0-10 MASS_7.3-54 zoo_1.8-9 scales_1.1.1
[51] miscTools_0.6-26 hms_1.1.1 sandwich_3.0-1 yaml_2.2.1 bdsmatrix_1.3-4
[56] stringi_1.7.6 bayestestR_0.11.5 e1071_1.7-9 boot_1.3-28 Rdpack_2.1.3
[61] rlang_0.4.12 pkgconfig_2.0.3 evaluate_0.14 lattice_0.20-44 labeling_0.4.2
[66] tidyselect_1.1.1 magrittr_2.0.1 R6_2.5.1 generics_0.1.1 DBI_1.1.2
[71] pillar_1.6.4 withr_2.4.3 survival_3.2-11 datawizard_0.2.2 abind_1.4-5
[76] sp_1.4-6 nnet_7.3-16 modelr_0.1.8 crayon_1.4.2 car_3.0-12
[81] utf8_1.2.2 tzdb_0.2.0 rmarkdown_2.11 maxLik_1.5-2 readxl_1.3.1
[86] data.table_1.14.2 vcd_1.4-9 reprex_2.0.1 digest_0.6.29 xtable_1.8-4
[91] munsell_0.5.0 mitools_2.4
