Here are the packages I have installed and loaded:
knitr::opts_chunk$set(echo = TRUE)
setwd("/Users/Anon/Desktop/Anon")
install.packages("modelsummary")
install.packages("kableExtra")
install.packages("dplyr")
install.packages("stargazer")
install.packages("tinytex")
install.packages("tinytable")
install.packages("tidyverse")
config_modelsummary(factory_default = 'tinytable')
library(tidyverse)
library(modelsummary)
library(modelsummary)
library(kableExtra)
library(fpp3)
library(stringr)
library(dplyr)
library(GGally)
library(stargazer)
Here is the part of my code I am struggling with:
list("All" = Results_whole,
"Port Phillip" = Results_whole,
"Melbourne" = airbnb_Melbourne) %>%
msummary(stars = TRUE) %>%
kable_styling(latex_options = "HOLD")
Here is the error I get:
Error: `modelsummary could not extract the required information from a model of class "tbl_df". The package tried
a sequence of 2 helper functions to extract estimates:
parameters::parameters(model)
broom::tidy(model)
To draw a table, one of these commands must return a `data.frame` with a column named "term". The
`modelsummary` website explains how to summarize unsupported models or add support for new models yourself:
https://modelsummary.com/articles/modelsummary.html
These errors messages were generated during extraction:
`parameters::parameters(model)` did not return a valid data.frame.
`broom::tidy(model)` did not return a valid data.frame.
In addition: Warning message:
`modelsummary could not extract goodness-of-fit statistics from a model
of class "tbl_df". The package tried a sequence of 2 helper functions:
performance::model_performance(model)
broom::glance(model)
One of these functions must return a one-row `data.frame`. The `modelsummary` website explains how to summarize unsupported models or add support for new models yourself:
https://modelsummary.com/articles/modelsummary.html
Output of sessionInfo():
R version 4.3.2 (2023-10-31)
Platform: aarch64-apple-darwin20 (64-bit)
Running under: macOS Sonoma 14.3.1
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/lib/libRlapack.dylib; LAPACK version 3.11.0
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
time zone: Australia/Melbourne
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] stargazer_5.2.3 GGally_2.2.1 fable_0.3.3 feasts_0.3.2 fabletools_0.4.0 tsibbledata_0.4.1
[7] tsibble_1.1.4 fpp3_0.5 kableExtra_1.4.0 modelsummary_1.4.5 lubridate_1.9.3 forcats_1.0.0
[13] stringr_1.5.1 dplyr_1.1.4 purrr_1.0.2 readr_2.1.5 tidyr_1.3.1 tibble_3.2.1
[19] ggplot2_3.5.0 tidyverse_2.0.0
loaded via a namespace (and not attached):
[1] tidyselect_1.2.0 viridisLite_0.4.2 farver_2.1.1 fastmap_1.1.1 bayestestR_0.13.2
[6] digest_0.6.34 timechange_0.3.0 estimability_1.5 lifecycle_1.0.4 ellipsis_0.3.2
[11] magrittr_2.0.3 compiler_4.3.2 rlang_1.1.3 tools_4.3.2 utf8_1.2.4
[16] yaml_2.3.8 knitr_1.45 labeling_0.4.3 bit_4.0.5 plyr_1.8.9
[21] xml2_1.3.6 RColorBrewer_1.1-3 tinytable_0.1.0 withr_3.0.0 grid_4.3.2
[26] datawizard_0.9.1 fansi_1.0.6 colorspace_2.1-0 emmeans_1.10.0 scales_1.3.0
[31] insight_0.19.8 cli_3.6.2 mvtnorm_1.2-4 anytime_0.3.9 rmarkdown_2.25
[36] crayon_1.5.2 generics_0.1.3 rstudioapi_0.15.0 performance_0.10.9 tzdb_0.4.0
[41] parameters_0.21.5 parallel_4.3.2 effectsize_0.8.6 vctrs_0.6.5 hms_1.1.3
[46] bit64_4.0.5 systemfonts_1.0.5 glue_1.7.0 ggstats_0.5.1 distributional_0.4.0
[51] stringi_1.8.3 gtable_0.3.4 tables_0.9.17 lmtest_0.9-40 munsell_0.5.0
[56] pillar_1.9.0 rappdirs_0.3.3 htmltools_0.5.7 R6_2.5.1 vroom_1.6.5
[61] evaluate_0.23 lattice_0.21-9 backports_1.4.1 broom_1.0.5 Rcpp_1.0.12
[66] svglite_2.1.3 coda_0.19-4.1 checkmate_2.3.1 xfun_0.42 zoo_1.8-12
[71] pkgconfig_2.0.3
I tried to present 3 regression results into one table, in a list and piped them into msummary(), using the code listed above. i expected to get one table that tabulated the results of the three regressions. I got an error message about the "modelsummary" package, which i have pasted above.