fixed citation file (cran resubmission)

ropensci · Feb 16, 2023 · b2f2c5c · b2f2c5c
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diff --git a/CRAN-SUBMISSION b/CRAN-SUBMISSION
@@ -1,3 +1,3 @@
 Version: 1.1.0
-Date: 2023-02-15 12:43:45 UTC
-SHA: 993eaa0f2c0a2acee959eb9ca0d149496d52e44b
+Date: 2023-02-16 10:47:47 UTC
+SHA: 32779c7592c525e8af2ed8d7ff9741787bc6d5d1
diff --git a/README.md b/README.md
@@ -11,6 +11,7 @@ coverage](https://codecov.io/gh/ropensci/yfR/branch/main/graph/badge.svg)](https
 (rcmdcheck)](https://github.com/ropensci/yfR/workflows/R-CMD-check/badge.svg)](https://github.com/ropensci/yfR/actions)
 [![Status at rOpenSci Software Peer
 Review](https://badges.ropensci.org/523_status.svg)](https://github.com/ropensci/software-review/issues/523)
+[![R-CMD-check](https://github.com/ropensci/yfR/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/ropensci/yfR/actions/workflows/R-CMD-check.yaml)
 <!-- badges: end -->
 
 # Motivation
@@ -156,32 +157,32 @@ df_yf <- yf_get(tickers = my_ticker,
                      first_date = first_date,
                      last_date = last_date)
 #> 
-#> ── Running yfR for 1 stocks | 2022-11-28 --> 2022-12-28 (30 days) ──
+#> ── Running yfR for 1 stocks | 2023-01-17 --> 2023-02-16 (30 days) ──
 #> 
 #> ℹ Downloading data for benchmark ticker ^GSPC
 #> ℹ (1/1) Fetching data for META
 #> !    - not cached
 #> ✔    - cache saved successfully
-#> ✔    - got 21 valid rows (2022-11-28 --> 2022-12-27)
-#> ✔    - got 100% of valid prices -- You got it msperlin!
+#> ✔    - got 22 valid rows (2023-01-17 --> 2023-02-15)
+#> ✔    - got 100% of valid prices -- Time for some tea?
 #> ℹ Binding price data
 #> 
 #> ── Diagnostics ─────────────────────────────────────────────────────────────────
-#> ✔ Returned dataframe with 21 rows -- Time for some tea?
-#> ℹ Using 6.1 kB at /tmp/Rtmpa606SQ/yf_cache for 2 cache files
+#> ✔ Returned dataframe with 22 rows -- Youre doing good!
+#> ℹ Using 6.3 kB at /tmp/RtmpvCnCwr/yf_cache for 2 cache files
 #> ℹ Out of 1 requested tickers, you got 1 (100%)
 
 # output is a tibble with data
 head(df_yf)
 #> # A tibble: 6 × 11
 #>   ticker ref_date   price_open price_h…¹ price…² price…³ volume price…⁴ ret_ad…⁵
 #>   <chr>  <date>          <dbl>     <dbl>   <dbl>   <dbl>  <dbl>   <dbl>    <dbl>
-#> 1 META   2022-11-28       111.      112.    108.    109. 2.33e7    109. NA      
-#> 2 META   2022-11-29       110.      111.    109.    109. 2.39e7    109.  0.00625
-#> 3 META   2022-11-30       110.      118.    109.    118. 4.33e7    118.  0.0789 
-#> 4 META   2022-12-01       119.      121.    118.    120. 3.66e7    120.  0.0198 
-#> 5 META   2022-12-02       118.      124.    118.    123. 3.99e7    123.  0.0253 
-#> 6 META   2022-12-05       122.      125.    121.    122. 3.55e7    122. -0.00858
+#> 1 META   2023-01-17       136.      137.    134.    135. 2.11e7    135. NA      
+#> 2 META   2023-01-18       136.      137.    133.    133. 2.02e7    133. -1.73e-2
+#> 3 META   2023-01-19       132.      137.    132.    136. 2.86e7    136.  2.35e-2
+#> 4 META   2023-01-20       136.      140.    135.    139. 2.86e7    139.  2.37e-2
+#> 5 META   2023-01-23       139.      144.    139.    143. 2.75e7    143.  2.80e-2
+#> 6 META   2023-01-24       142.      145     141.    143. 2.20e7    143. -9.07e-4
 #> # … with 2 more variables: ret_closing_prices <dbl>,
 #> #   cumret_adjusted_prices <dbl>, and abbreviated variable names ¹price_high,
 #> #   ²price_low, ³price_close, ⁴price_adjusted, ⁵ret_adjusted_prices

diff --git a/inst/CITATION b/inst/CITATION
@@ -1,13 +1,9 @@
-citHeader("To cite yfR in publications use:")
-
-citEntry(
-  entry    = "Manual",
-  title    = "yfR: Downloads and Organizes Financial Data from Yahoo Finance",
+bibentry(
+  bibtype = "Manual",
+  header = "To cite yfR in publications use:",
+  title  = "yfR: Downloads and Organizes Financial Data from Yahoo Finance",
   author = "Marcelo Perlin",
-  year = "2022",
-  note = "R package version 1.0.4",
-  url = "https://github.com/ropensci/yfR",
-  textVersion = "Makes it easy to download financial data from Yahoo Finance <https://finance.yahoo.com/>,
- a vast repository of stock price data across multiple financial exchanges. The package offers a local caching system
- and support for parallel computation."
+  year = "2023",
+  note = "R package version 1.1.0",
+  url = "https://github.com/ropensci/yfR"
 )