Skip to content

Commit 0a94b65

Browse files
committed
updated filepath for OpenOnDemand
1 parent 0729df3 commit 0a94b65

File tree

3 files changed

+7
-7
lines changed

3 files changed

+7
-7
lines changed

docs/00-introduction.md

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -241,7 +241,7 @@ the Source pane.
241241
In the console, we expect to see the following output :
242242

243243
!!! solution ""
244-
`[1] "/home/<USERID>/R4Genomics"`
244+
`[1] "/home/shared/<USERID>"`
245245

246246
* Notice, at the Console, you will also see the instruction you executed above the output in blue.
247247

@@ -269,7 +269,7 @@ include a comment on the purpose of commands you are learning, e.g.:
269269
.challenge}
270270

271271
For the purposes of this exercise we want you to be in the directory
272-
`"/home/<USERID>/R4Genomics"`. What if you weren't? You can set your home
272+
`"/home/shared/<USERID>/R4Genomics"`. What if you weren't? You can set your home
273273
directory using the `setwd()` command. Enter this command in your
274274
script, but *don't run* this yet.
275275

@@ -288,7 +288,7 @@ this:
288288

289289
!!! r-project
290290

291-
`# This sets the working directory setwd("/home/<USERID>/R4Genomics")`
291+
`# This sets the working directory setwd("/home/shared/<USERID>/R4Genomics")`
292292

293293
When you run this command, the console repeats the command, but gives
294294
you no output. Instead, you see the blank R prompt: `>`.

docs/01-r-basics.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -4,9 +4,9 @@
44

55
=== "Keypoints"
66

7-
- Effectively using R is a journey of months or years. Still you don't
7+
- Effectively using R is a journey of months or years. Still, you don't
88
have to be an expert to use R and you can start using and analyzing
9-
your data with with about a day's worth of training
9+
your data with with about a day's worth of training.
1010
- It is important to understand how data are organized by R in a given
1111
object type and how the mode of that type (e.g. numeric, character,
1212
logical, etc.) will determine how R will operate on that data.

docs/03-basics-factors-dataframes.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -150,7 +150,7 @@ function called `read.csv()`.
150150
they can do.
151151

152152
Now, let's read in the file `combined_tidy_vcf.csv` which will be
153-
located in `/home/$USER/R4Genomics/`. Call this data `variants`. The first
153+
located in `/home/shared/$USER/R4Genomics/`. Call this data `variants`. The first
154154
argument to pass to our `read.csv()` function is the file path for our
155155
data. The file path must be in quotes and now is a good time to remember
156156
to use tab autocompletion. **If you use tab autocompletion you avoid
@@ -161,7 +161,7 @@ typos and errors in file paths.** Use it!
161161
```r
162162
# Read in a CSV file and save it as 'variants'
163163

164-
variants <- read.csv("/home/<USERID>/R4Genomics/combined_tidy_vcf.csv")
164+
variants <- read.csv("/home/shared/<USERID>/R4Genomics/combined_tidy_vcf.csv")
165165
```
166166

167167
One of the first things you should notice is that in the Environment

0 commit comments

Comments
 (0)