R version 3.6.3 (2020-02-29) Platform: x86_64-apple-darwin15.6.0 (64-bit) Matrix products: default BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib LAPACK: /Applications/jamovi.app/Contents/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/C attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] Rcpp_1.0.3 loaded via a namespace (and not attached): [1] knitr_1.28 magrittr_1.5 tidyselect_1.0.0 munsell_0.5.0 [5] colorspace_1.4-1 R6_2.4.1 rlang_0.4.5 dplyr_0.8.5 [9] tools_3.6.3 grid_3.6.3 jmvcore_1.2.5 gtable_0.3.0 [13] RProtoBuf_0.4.17 xfun_0.13 Rj_1.1.0 ellipsis_0.3.0 [17] assertthat_0.2.1 tibble_3.0.1 lifecycle_0.2.0 crayon_1.3.4 [21] purrr_0.3.4 ggplot2_3.3.0 bitops_1.0-6 vctrs_0.2.4 [25] RCurl_1.98-1.2 evaluate_0.14 glue_1.4.0 stringi_1.4.6 [29] compiler_3.6.3 pillar_1.4.3 scales_1.1.0 jsonlite_1.6.1 [33] jmv_1.2.5 pkgconfig_2.0.3
data.No. id time status age sex disease frail "integer" "integer" "integer" "integer" "integer" "factor" "factor" "numeric"
R version 3.6.3 (2020-02-29) Platform: x86_64-apple-darwin15.6.0 (64-bit) Matrix products: default BLAS: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/C attached base packages: [1] stats graphics grDevices utils datasets methods base loaded via a namespace (and not attached): [1] jmvcore_1.2.5 httr_1.4.1 compiler_3.6.3 rjson_0.2.20 [5] R6_2.4.1 jmvconnect_1.2.8 rappdirs_0.3.1 Rcpp_1.0.4 [9] evaluate_0.14
data.No. id time status age sex disease frail "integer" "integer" "integer" "integer" "integer" "factor" "factor" "numeric"
Call:
coxph(formula = Surv(time, status) ~ disease, data = data)
coef exp(coef) se(coef) z p
diseaseAN 0.3802 1.4626 0.3363 1.131 0.258
diseaseGN 0.3514 1.4211 0.3537 0.993 0.320
diseasePKD -0.2600 0.7710 0.5067 -0.513 0.608
Likelihood ratio test=2.66 on 3 df, p=0.4472
n= 76, number of events= 58
Call:
coxph(formula = Surv(time, status) ~ disease, data = data)
coef exp(coef) se(coef) z p
diseaseAN 0.3802 1.4626 0.3363 1.131 0.258
diseaseGN 0.3514 1.4211 0.3537 0.993 0.320
diseasePKD -0.2600 0.7710 0.5067 -0.513 0.608
Likelihood ratio test=2.66 on 3 df, p=0.4472
n= 76, number of events= 58
[1] The jamovi project (2020). jamovi. (Version 1.2) [Computer Software]. Retrieved from https://www.jamovi.org.
[2] R Core Team (2019). R: A Language and environment for statistical computing. (Version 3.6) [Computer software]. Retrieved from https://cran.r-project.org/.