The tidy.drc function returns NA's for the confidence interval estimates.
Attempting the example from the documentation:
library(drc)
library(broom)
library(tidyverse)
mod <- drm(dead/total~conc, type,
weights = total, data = selenium, fct = LL.2(), type = "binomial")
tidy(mod)
# A tibble: 8 x 6
term curve estimate std.error statistic p.value
<chr> <chr> <dbl> <dbl> <dbl> <dbl>
1 b 1 -1.50 0.155 -9.67 2.01e-22
2 b 2 -0.843 0.139 -6.06 1.35e- 9
3 b 3 -2.16 0.138 -15.7 1.65e-55
4 b 4 -1.45 0.169 -8.62 3.41e-18
5 e 1 252. 13.8 18.2 1.16e-74
6 e 2 378. 39.4 9.61 3.53e-22
7 e 3 120. 5.91 20.3 1.14e-91
8 e 4 88.8 8.62 10.3 3.28e-25
tidy(mod, conf.int = TRUE)
# A tibble: 8 x 8
term curve estimate std.error statistic p.value conf.low conf.high
<chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 b 1 -1.50 0.155 -9.67 2.01e-22 NA NA
2 b 2 -0.843 0.139 -6.06 1.35e- 9 NA NA
3 b 3 -2.16 0.138 -15.7 1.65e-55 NA NA
4 b 4 -1.45 0.169 -8.62 3.41e-18 NA NA
5 e 1 252. 13.8 18.2 1.16e-74 NA NA
6 e 2 378. 39.4 9.61 3.53e-22 NA NA
7 e 3 120. 5.91 20.3 1.14e-91 NA NA
8 e 4 88.8 8.62 10.3 3.28e-25 NA NA
Relevant session info:
R version 3.6.0 (2019-04-26)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Debian GNU/Linux 9 (stretch)
Matrix products: default
BLAS/LAPACK: /usr/lib/libopenblasp-r0.2.19.so
locale:
[1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8 LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8
[6] LC_MESSAGES=C LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] forcats_0.4.0 stringr_1.4.0 dplyr_0.8.3 purrr_0.3.2 readr_1.3.1 tidyr_0.8.3
[7] tibble_2.1.3 ggplot2_3.2.0 tidyverse_1.2.1 broom_0.5.2.9002 drc_3.0-1 MASS_7.3-51.4
loaded via a namespace (and not attached):
[1] httr_1.4.0 jsonlite_1.6 splines_3.6.0 carData_3.0-2 modelr_0.1.4 gtools_3.8.1
[7] assertthat_0.2.1 cellranger_1.1.0 pillar_1.4.2 backports_1.1.4 lattice_0.20-38 glue_1.3.1
[13] digest_0.6.20 rvest_0.3.4 colorspace_1.4-1 sandwich_2.5-1 htmltools_0.3.6 Matrix_1.2-17
[19] clipr_0.6.0 pkgconfig_2.0.2 haven_2.1.1 mvtnorm_1.0-11 scales_1.0.0 processx_3.4.0
[25] whisker_0.3-2 openxlsx_4.1.0.1 rio_0.5.16 generics_0.0.2 car_3.0-3 ellipsis_0.2.0.1
[31] withr_2.1.2 TH.data_1.0-10 lazyeval_0.2.2 cli_1.1.0 survival_2.44-1.1 magrittr_1.5
[37] crayon_1.3.4 readxl_1.3.1 evaluate_0.14 ps_1.3.0 fansi_0.4.0 fs_1.3.1
[43] xml2_1.2.0 foreign_0.8-71 tools_3.6.0 data.table_1.12.2 hms_0.4.2 multcomp_1.4-10
[49] munsell_0.5.0 reprex_0.3.0 plotrix_3.7-6 zip_2.0.3 callr_3.3.0 compiler_3.6.0
[55] rlang_0.4.0 grid_3.6.0 rstudioapi_0.10 rmarkdown_1.13 gtable_0.3.0 codetools_0.2-16
[61] abind_1.4-5 curl_3.3 R6_2.4.0 zoo_1.8-6 lubridate_1.7.4 knitr_1.23
[67] zeallot_0.1.0 utf8_1.1.4 stringi_1.4.3 Rcpp_1.0.1 vctrs_0.1.0 tidyselect_0.2.5
[73] xfun_0.8
The
tidy.drcfunction returns NA's for the confidence interval estimates.Attempting the example from the documentation:
Relevant session info: