• using R version 4.5.3 (2026-03-11)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     gcc-15 (Debian 15.2.0-14) 15.2.0     GNU Fortran (Debian 15.2.0-14) 15.2.0
• running under: Debian GNU/Linux forky/sid
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• this is package ‘tidyquant’ version ‘1.0.11’
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• checking examples ... [14s/20s] ERROR Running examples in ‘tidyquant-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: tq_mutate > ### Title: Mutates quantitative data > ### Aliases: tq_mutate tq_mutate_ tq_mutate_xy tq_mutate_xy_ > ### tq_mutate_fun_options tq_transmute tq_transmute_ tq_transmute_xy > ### tq_transmute_xy_ tq_transmute_fun_options > > ### ** Examples > > # Load libraries > library(dplyr) ######################### Warning from 'xts' package ########################## # # # The dplyr lag() function breaks how base R's lag() function is supposed to # # work, which breaks lag(my_xts). Calls to lag(my_xts) that you type or # # source() into this session won't work correctly. # # # # Use stats::lag() to make sure you're not using dplyr::lag(), or you can add # # conflictRules('dplyr', exclude = 'lag') to your .Rprofile to stop # # dplyr from breaking base R's lag() function. # # # # Code in packages is not affected. It's protected by R's namespace mechanism # # Set `options(xts.warn_dplyr_breaks_lag = FALSE)` to suppress this warning. # # # ############################################################################### Attaching package: ‘dplyr’ The following objects are masked from ‘package:xts’:     first, last The following objects are masked from ‘package:stats’:     filter, lag The following objects are masked from ‘package:base’:     intersect, setdiff, setequal, union > > ##### Basic Functionality > > fb_stock_prices <- tidyquant::FANG %>% + filter(symbol == "META") %>% + filter( + date >= "2016-01-01", + date <= "2016-12-31" + ) > > goog_stock_prices <- FANG %>% + filter(symbol == "GOOG") %>% + filter( + date >= "2016-01-01", + date <= "2016-12-31" + ) > > # Example 1: Return logarithmic daily returns using periodReturn() > fb_stock_prices %>% + tq_mutate(select = close, mutate_fun = periodReturn, + period = "daily", type = "log") # A tibble: 252 × 9    symbol date open high low close volume adjusted daily.returns    <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  1 META 2016-01-04 102. 102. 99.8 102. 37912400 102. 0  2 META 2016-01-05 103. 104. 102. 103. 23258200 103. 0.00498  3 META 2016-01-06 101. 104. 101. 103. 25096200 103. 0.00233  4 META 2016-01-07 100. 101. 97.3 97.9 45172900 97.9 -0.0503  5 META 2016-01-08 99.9 100. 97.0 97.3 35402300 97.3 -0.00604  6 META 2016-01-11 97.9 98.6 95.4 97.5 29932400 97.5 0.00185  7 META 2016-01-12 99 100.0 97.6 99.4 28395400 99.4 0.0189  8 META 2016-01-13 101. 101. 95.2 95.4 33410600 95.4 -0.0404  9 META 2016-01-14 95.8 98.9 92.4 98.4 48658600 98.4 0.0302 10 META 2016-01-15 94.0 96.4 93.5 95.0 45935600 95.0 -0.0352 # ℹ 242 more rows > > # Example 2: Use tq_mutate_xy to use functions with two columns required > fb_stock_prices %>% + tq_mutate_xy(x = close, y = volume, mutate_fun = EVWMA, + col_rename = "EVWMA") # A tibble: 252 × 9    symbol date open high low close volume adjusted EVWMA    <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  1 META 2016-01-04 102. 102. 99.8 102. 37912400 102. NA  2 META 2016-01-05 103. 104. 102. 103. 23258200 103. NA  3 META 2016-01-06 101. 104. 101. 103. 25096200 103. NA  4 META 2016-01-07 100. 101. 97.3 97.9 45172900 97.9 NA  5 META 2016-01-08 99.9 100. 97.0 97.3 35402300 97.3 NA  6 META 2016-01-11 97.9 98.6 95.4 97.5 29932400 97.5 NA  7 META 2016-01-12 99 100.0 97.6 99.4 28395400 99.4 NA  8 META 2016-01-13 101. 101. 95.2 95.4 33410600 95.4 NA  9 META 2016-01-14 95.8 98.9 92.4 98.4 48658600 98.4 NA 10 META 2016-01-15 94.0 96.4 93.5 95.0 45935600 95.0 95.0 # ℹ 242 more rows > > # Example 3: Using tq_mutate to work with non-OHLC data > tq_get("DCOILWTICO", get = "economic.data") %>% + tq_mutate(select = price, mutate_fun = lag.xts, k = 1, na.pad = TRUE) Warning: x = 'DCOILWTICO', get = 'economic.data': Error in getSymbols.FRED(Symbols = "DCOILWTICO", env = <environment>, : Unable to import “DCOILWTICO”. cannot open the connection Error in tq_mutate_.default(data = data, select = lazyeval::expr_text(select), :   data must be a tibble or data.frame object Calls: %>% -> tq_mutate -> tq_mutate_ -> tq_mutate_.default Execution halted Examples with CPU (user + system) or elapsed time > 5s               user system elapsed coord_x_date 3.054 0.534 5.022
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• checking tests ... [12s/19s] ERROR   Running ‘testthat.R’ [12s/18s] Running the tests in ‘tests/testthat.R’ failed. Complete output:   > # This file is part of the standard setup for testthat.   > # It is recommended that you do not modify it.   > #   > # Where should you do additional test configuration?   > # Learn more about the roles of various files in:   > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview   > # * https://testthat.r-lib.org/articles/special-files.html   >   > library(testthat)   > library(tidyquant)   ── Attaching core tidyquant packages ─────────────────────── tidyquant 1.0.11 ──   ✔ PerformanceAnalytics 2.0.8 ✔ quantmod 0.4.28   ✔ TTR 0.24.4 ✔ xts 0.14.2   ── Conflicts ────────────────────────────────────────── tidyquant_conflicts() ──   ✖ zoo::as.Date() masks base::as.Date()   ✖ zoo::as.Date.numeric() masks base::as.Date.numeric()   ✖ PerformanceAnalytics::legend() masks graphics::legend()   ✖ quantmod::summary() masks base::summary()   ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors   >   > test_check("tidyquant")   Saving _problems/test-tq_get_economic_data-20.R   Saving _problems/test-tq_get_economic_data-21.R   Saving _problems/test-tq_get_economic_data-25.R   Saving _problems/test-tq_get_economic_data-27.R   [ FAIL 4 | WARN 2 | SKIP 4 | PASS 63 ]      ══ Skipped tests (4) ═══════════════════════════════════════════════════════════   • On CRAN (4): 'test-index-tq_index.R:16:5', 'test-index_tq_exchange.R:18:5',     'test-tq_portfolio.R:4:1', 'test-tq_transmute.R:2:1'      ══ Failed tests ════════════════════════════════════════════════════════════════   ── Failure ('test-tq_get_economic_data.R:20:5'): Test returns tibble with correct rows and columns. ──   Expected `test1` to inherit from "character".   Actual inheritance: "logical"   ── Failure ('test-tq_get_economic_data.R:21:5'): Test returns tibble with correct rows and columns. ──   Expected `test2` to inherit from "character".   Actual inheritance: "logical"   ── Failure ('test-tq_get_economic_data.R:25:5'): Test returns tibble with correct rows and columns. ──   Expected `nrow(test1)` to equal 6.   Differences:   target is NULL, current is numeric   ── Failure ('test-tq_get_economic_data.R:27:5'): Test returns tibble with correct rows and columns. ──   Expected `ncol(test1)` to equal 3.   Differences:   target is NULL, current is numeric      [ FAIL 4 | WARN 2 | SKIP 4 | PASS 63 ]   Error:   ! Test failures.   Execution halted
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• DONE

Status: 2 ERRORs