If  you  do  not  want  to  download  R  or  R  Studio  onto your  computer  or  you  don't  have  the  ability  to download  R  and  R  Studio  onto  your  computer, you  can  use  the  Post  Cloud  service to  use  R  Studio  online. There  are  a  couple  of  differences  in  using  Post  Cloud, which  I'll  just  walk  through  very  briefly  in  this  video. To  use  posit,  you  go  to posits  and  you  want to  go  to  products  Cloud  and  posit  Cloud. Occasionally,  these  things  will  move  around  in  this  menu. The  thing  you're  looking  for  is  Post  Cloud. If  they  do,  it's  under the  arm  of  the  posit  product  services. Once  you  click  on  Post  Cloud, you  want  to  click  on  Get  Started. To  be  very  clear,  you  will  not have  to  pay  for  posit  Cloud. They  have  Cloud  free, and  that  is  all  you  will  need  for  the  vast  majority  of your  MSC  projects  within your  university  career,  et  cetera. If  you  go  to  log  in  or  sign  up  for  the  very  first  time. You  have  a  couple  of  different  options. You  can  sign  up  with  your  e  mail, your  password,  your  name, or  you  can  also  log  in  with  a  Google  account, a  GitHub  account,  or  a  clever  account. I  already  have  a  GitHub  account, so  I'm  going  to  log  in  via  that, but  you  can  sign  up, as  we  mentioned,  with  your  e  mail  if  you  wish. I'm  going  to  log  in  with  my  GitHub  account. Then  you  will  see  the  posit  cloud  interface. On  the  left  hand  side, you  will  see  that  you  have  spaces. There  is  a  guide,  including  cheat  sheets  and  recipes, that  can  be  very  useful. There's  some  help,  and  there's  info  on things  like  plans  and  pricing  terms  and  condition. I  encourage  you  to  read  the  terms and  condition,  obviously. But  you  will  mainly  be  working  within  your  work  space. If  you  click  on  your  workspace, it  looks  a  little  something  like  this. You  have  your  content.  You  have  things  that  are  in your  archive  and  things  that  are  in  your  trash. Each  one  of  these  is  project. So  we're  going  to  go  up  to  new  project on  the  top  right  hand  side, and  we're  going  to  have  an  R  Studio  project. It  will  prepare  and  deploy  the  project. And  just  take  a  little  bit  of  time  to  do  so. And  this  will  essentially  manage  for you  the  connection  between  R  and  R  Studio. You  do,  of  course, need  a  slightly  more  stable Internet  connection  to  run  this. But  it  basically  runs  studio  inside  of  your  browser. You  have  a  couple  of  options  when  we  first  start. Let's  just  do  our  little  checks  to make  sure  that  R  is  working  properly. I  always  like  to  do  a  simple  command  like citation  to  see  that  we  are  using R  and  we  R.  You can  also  do  simple  calculations,  two  plus  two. If  I  hit  Enter,  it  is  four  and a  simple  commands  such  as  print  Hello  World. R  in  the  console  is  working  as  we  would  expect  it  to. There  are  a  couple  of  key  differences in  using  posit  Cloud  or an  online  R  Studio  as  opposed  to using  a  version  on  your  own  computer. For  the  most  part,  the  resources  I  make are  using  a  desktop  version  of  R  Studio. In  this  video,  I'm  just  going  to  highlight  some  of the  key  differences  that  you  need  to  be  aware of  if  you  want  to  only  work  online. First,  it's  a  good  idea  to  name  your  project  up  here. Let's  just  call  this  example  project. You'll  notice  that  we  have  our  console  window  pane, our  environment  window  pane, and  our  files  window  pane, just  as  we  would  if  we  were  using  our  studio  on  desktop, so  this  will  be  exactly  the  same. If  you  were  watching  one  of  my  videos about  our  studio  desktop, this  should  look  very  familiar. We  will  discuss  what  all  of  these  various  pans are  in  more  detail  in  other  resources. But  one  of  the  most  important  parts  to  point  out  is  that if  you  go  to  file  and  open  file, You  see  your  project  directory, which  is  on  the  Cloud. This  window  cannot  see into  the  computer  that  you  are  using. It  is  all  within  the  Cloud. How  do  you  get  any  of  your  files  into  our  studio? To  get  files  into  the  Cloud, you  go  down  to  the  file  pane on  the  bottom  right  hand  side, and  you  want  to  click  on  Upload. You're  going  to  leave  your  target  directory  as  it  is, the  Cloud  and  the  project. The  files  to  upload,  you  click  Browse. This  will  then  look  at  what  is  on  your  PC. I'm  going  to  load  this  example  file,  click  on. Now  this  file  is  available  for  me  in  the  Cloud. If  I  click  on  it  here, it  opens  up  and  we  will  be  able to  run  the  code  that  was  in  our  file. You  might  get  occasionally  a  warning  like  this saying  that  the  tidyverse  package is  required  but  not  installed. If  you  click  on  Install, you'll  see  it  will  install this  for  you  in  the  background, and  this  is  one  of  the  beauties  of  using the  R  Studio  Cloud  environment  is  that this  part  is  really  managed  for  you. While  that's  installing,  I'll  just  show you  we  can  also  upload,  for  example, if  we  browse  some  example  data  such  as  an  Excel  file, and  we  will  be  able  to  access  that  if  we go  to  import  from  Excel. Just  take  a  little  moment  because it's  also  installing  tidyverse  at  the  same  time. I  am  asking  it  to  do  quite  a  lot. You'll  see  that  the  ram  metre  is  going  up. It's  using  quite  a  little  bit  of  memory  here. We  get  a  warning  that  if  we  use  this  data  import, we  need  to  update  our  RCPP  package.  Yes,  I  do. Again,  this  is  all  just  happening  on this  Cloud  environment  that  you  have, so  you  don't  need  to  worry  about  doing  anything  to  UPC. If  we  click  on  Browse,  again, it  is  seeing  your  directory  in  RTD  Cloud  not  UPC. This  is  the  really  key  point  that  I  want  you  to  remember. If  I  click  on  example  data. And  then  shows  me  the  data, I  can  click  on  Import  and  you'll spot  it  comes  up  into  the  environment  here. You  can  also  upload  our  markdown  quarto  documents, a  whole  range  of  different  documents into  our  studio  environment. If  at  any  point  you  get  lost  in  here, for  example,  if  you  click  on  Cloud, you  might  go,  Oh,  my  goodness,  where  am  I? You  want  to  go  back  to  project, and  this  is  where  you  are. If  you're  uploading  something, and  you  look  at  your  target  directory, you  accidentally  click  on  the  slash, which  is  your  home  file. Don't  panic,  look  for  cloud  folder, project  folder,  and  then we're  back  where  we're  meant  to  be. So  this  is  how  to  use  our  studio  online. Everything  else  will  be  pretty  much exactly  similar  to  any  of  the  videos you  seeing  me  using  our  studio  as  a  desktop  application, it's  mainly  just  remembering  that you  have  a  little  extra  step  between  getting  files in  and  indeed  getting  files  out  of  your  environment. Let's  say,  for  example, you  wanted  to  get  example  dot  R  back  out  of  the  Cloud. If  you  click  on  example  dot  r, so  that  it's  ticked  here. Go  to  more  Export, then  it  will  be  downloaded  to  your  computer. We'll  call  that  downloaded  download and  you  can  download  it  onto your  desktop  and  you  can  get that  edited  file  back  out  of  our  Studio  Cloud. Our  Studio  Cloud  is  a  really  useful  way of  getting  access  to  our  studio  if  you  don't have  the  facility  to  download  or our  studio  onto  your  PC  at  home.  Okay.