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update 6c for academictwitteR v0.2, don't use positional arguments #4

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update 6c for academictwitteR v0.2, don't use positional arguments #4

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37 changes: 17 additions & 20 deletions modules/6c-labs-code-academic-r.md
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Original file line number Diff line number Diff line change
Expand Up @@ -26,8 +26,8 @@ In all of the code samples, you will first need to load the academicTwitteR libr
# This will load the academicTwitteR package
library(academictwitteR)

# Set your own bearer token (replace the XXXXX with your own bearer token)
bearer_token <- "XXXXX"
# Set your own bearer token
set_bearer() # follow the on-screen instructions to save your bearer token in .Renviron as an environment variable: TWITTER_BEARER=XXXXXX; and restart R.
```

These two lines above will remain the same for all the code examples.
Expand All @@ -38,10 +38,9 @@ The get_all_tweets function in academicTwitteR get Tweets from the full archive

```R
tweets <-
get_all_tweets("from:twitterdev",
"2021-01-01T00:00:00Z",
"2021-05-31T00:00:00Z",
bearer_token)
get_all_tweets(query = "from:twitterdev",
start_tweets = "2021-01-01T00:00:00Z",
end_tweets = "2021-05-31T00:00:00Z")

View(tweets$text)
```
Expand All @@ -61,10 +60,9 @@ If you want to get Tweets from the full-archive, and want to save it for use lat

```R
tweets <-
get_all_tweets("from:twitterdev",
"2021-01-01T00:00:00Z",
"2021-05-31T00:00:00Z",
bearer_token,
get_all_tweets(query = "from:twitterdev",
start_tweets = "2021-01-01T00:00:00Z",
end_tweets = "2021-05-31T00:00:00Z",
data_path = "data/",
bind_tweets = FALSE)
```
Expand All @@ -77,10 +75,9 @@ In the code below, replace the Tweet ID with an ID of your choice to get replies
tweets <-
get_all_tweets(
# Replace with Tweet ID of your choice to get replies
"conversation_id:1403738886275096605",
"2021-01-01T00:00:00Z",
"2021-06-14T00:00:00Z",
bearer_token
query = "conversation_id:1403738886275096605",
start_tweets = "2021-01-01T00:00:00Z",
end_tweets = "2021-06-14T00:00:00Z"
)

View(tweets$text)
Expand All @@ -95,10 +92,10 @@ The `has:geo` operator gives you Tweets that have geo information associated wit
```R
tweets <-
get_all_tweets(
"covid-19 has:geo",
"2021-01-01T01:00:00Z",
"2021-01-01T02:00:00Z",
bearer_token)
query = "covid-19 has:geo",
start_tweets = "2021-01-01T01:00:00Z",
end_tweets = "2021-01-01T02:00:00Z"
)

View(tweets)
```
Expand All @@ -115,8 +112,8 @@ user_ids <- c("2244994945", "6253282")

users <-
get_user_profile(
user_ids,
bearer_token)
x = user_ids
)

View(users)
```
Expand Down