Open barracuda156 opened 2 months ago
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R version 4.4.0 (2024-04-24) -- "Puppy Cup" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: powerpc-apple-darwin10.0.0d2 (32-bit) > library("testthat") > library("prediction") > test_check("prediction") cyl x 4 26.38 6 20.63 8 14.88 (Intercept) tensionM tensionH 36.38889 -10.00000 -14.72222 [ FAIL 4 | WARN 2 | SKIP 0 | PASS 188 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('tests-methods.R:40:9'): Test prediction() for 'glimQL' ────────────── Error in `model[["call"]]`: this S4 class is not subsettable Backtrace: ▆ 1. ├─prediction::prediction(m) at tests-methods.R:40:9 2. └─prediction:::prediction.glimQL(m) 3. ├─prediction::find_data(model, parent.frame()) 4. └─prediction:::find_data.default(model, parent.frame()) ── Error ('tests-methods.R:130:9'): Test prediction() for 'naiveBayes' ───────── Error in `match.arg(type)`: 'arg' should be one of "class", "raw" Backtrace: ▆ 1. ├─prediction::prediction(m) at tests-methods.R:130:9 2. └─prediction:::prediction.default(m) 3. ├─stats::predict(...) 4. └─e1071:::predict.naiveBayes(...) 5. └─base::match.arg(type) ── Error ('tests-methods.R:275:9'): Test prediction() for 'lda' ──────────────── Error in `data.frame(..., check.rows = FALSE, check.names = FALSE, fix.empty.names = FALSE, stringsAsFactors = FALSE)`: arguments imply differing number of rows: 75, 0 Backtrace: ▆ 1. ├─prediction::prediction(m, data = train) at tests-methods.R:275:9 2. └─prediction:::prediction.default(m, data = train) 3. └─prediction:::make_data_frame(data, fitted = tmp[["fit"]], se.fitted = tmp[["se.fit"]]) 4. └─base::data.frame(...) ── Error ('tests-methods.R:306:9'): Test prediction() for 'qda' ──────────────── Error in `data.frame(..., check.rows = FALSE, check.names = FALSE, fix.empty.names = FALSE, stringsAsFactors = FALSE)`: arguments imply differing number of rows: 75, 0 Backtrace: ▆ 1. ├─prediction::prediction(m, data = train) at tests-methods.R:306:9 2. └─prediction:::prediction.default(m, data = train) 3. └─prediction:::make_data_frame(data, fitted = tmp[["fit"]], se.fitted = tmp[["se.fit"]]) 4. └─base::data.frame(...) [ FAIL 4 | WARN 2 | SKIP 0 | PASS 188 ] Error: Test failures Execution halted
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