Last updated: 2023-06-23
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Knit directory: Cardiotoxicity/
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##package loading
####24h LDH data frame
$VDA
Welch Two Sample t-test
data: VE_24_ldh and DA_24_ldh
t = -3.7541, df = 17.12, p-value = 0.001564
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-1.0263033 -0.2880301
sample estimates:
mean of x mean of y
1.012944 1.670111
$VDX
Welch Two Sample t-test
data: VE_24_ldh and DX_24_ldh
t = -3.7427, df = 17.065, p-value = 0.001611
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-1.3902576 -0.3880757
sample estimates:
mean of x mean of y
1.012944 1.902111
$VEP
Welch Two Sample t-test
data: VE_24_ldh and EP_24_ldh
t = -4.285, df = 17.065, p-value = 0.0004969
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-1.5254695 -0.5190861
sample estimates:
mean of x mean of y
1.012944 2.035222
$VMT
Welch Two Sample t-test
data: VE_24_ldh and MT_24_ldh
t = -5.1821, df = 17.085, p-value = 7.383e-05
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-1.5220379 -0.6415176
sample estimates:
mean of x mean of y
1.012944 2.094722
$VTR
Welch Two Sample t-test
data: VE_24_ldh and TR_24_ldh
t = -2.5982, df = 17.112, p-value = 0.01868
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.85356981 -0.08876353
sample estimates:
mean of x mean of y
1.012944 1.484111
$VVEH
Welch Two Sample t-test
data: VE_24_ldh and VE_24_ldh
t = 0, df = 34, p-value = 1
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.02989169 0.02989169
sample estimates:
mean of x mean of y
1.012944 1.012944
####24h Tnni data frame
$VDAT
Welch Two Sample t-test
data: VE_24_TNNI and DA_24_TNNI
t = -1.2565, df = 11.832, p-value = 0.2332
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.36079840 0.09713173
sample estimates:
mean of x mean of y
0.978500 1.110333
$VDXT
Welch Two Sample t-test
data: VE_24_TNNI and DX_24_TNNI
t = -5.8512, df = 15.728, p-value = 2.633e-05
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.3799972 -0.1776694
sample estimates:
mean of x mean of y
0.978500 1.257333
$VEPT
Welch Two Sample t-test
data: VE_24_TNNI and EP_24_TNNI
t = -3.4195, df = 13.915, p-value = 0.004181
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.32673646 -0.07476354
sample estimates:
mean of x mean of y
0.97850 1.17925
$VMTT
Welch Two Sample t-test
data: VE_24_TNNI and MT_24_TNNI
t = -4.4919, df = 12.316, p-value = 0.0006915
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.5625613 -0.1957720
sample estimates:
mean of x mean of y
0.978500 1.357667
$VTRT
Welch Two Sample t-test
data: VE_24_TNNI and TR_24_TNNI
t = -3.7217, df = 11.904, p-value = 0.002956
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.5951287 -0.1553713
sample estimates:
mean of x mean of y
0.97850 1.35375
$VVEHT
Welch Two Sample t-test
data: VE_24_TNNI and VE_24_TNNI
t = 0, df = 34, p-value = 1
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.0574163 0.0574163
sample estimates:
mean of x mean of y
0.9785 0.9785
##joint dataframe data
R version 4.2.2 (2022-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.utf8
[2] LC_CTYPE=English_United States.utf8
[3] LC_MONETARY=English_United States.utf8
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.utf8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggalt_0.4.0 RColorBrewer_1.1-3 ggsignif_0.6.4 zoo_1.8-12
[5] lubridate_1.9.2 forcats_1.0.0 stringr_1.5.0 dplyr_1.1.2
[9] purrr_1.0.1 readr_2.1.4 tidyr_1.3.0 tibble_3.2.1
[13] tidyverse_2.0.0 rstatix_0.7.2 ggpubr_0.6.0 ggplot2_3.4.2
[17] readxl_1.4.2 workflowr_1.7.0
loaded via a namespace (and not attached):
[1] nlme_3.1-162 fs_1.6.2 bit64_4.0.5 ash_1.0-15
[5] httr_1.4.6 rprojroot_2.0.3 tools_4.2.2 backports_1.4.1
[9] bslib_0.5.0 utf8_1.2.3 R6_2.5.1 KernSmooth_2.23-21
[13] mgcv_1.8-42 colorspace_2.1-0 withr_2.5.0 tidyselect_1.2.0
[17] processx_3.8.1 extrafontdb_1.0 bit_4.0.5 compiler_4.2.2
[21] git2r_0.32.0 cli_3.6.1 labeling_0.4.2 sass_0.4.6
[25] scales_1.2.1 proj4_1.0-12 callr_3.7.3 digest_0.6.31
[29] rmarkdown_2.22 pkgconfig_2.0.3 htmltools_0.5.5 extrafont_0.19
[33] fastmap_1.1.1 highr_0.10 maps_3.4.1 rlang_1.1.1
[37] rstudioapi_0.14 jquerylib_0.1.4 farver_2.1.1 generics_0.1.3
[41] jsonlite_1.8.5 vroom_1.6.3 car_3.1-2 magrittr_2.0.3
[45] Matrix_1.5-4.1 Rcpp_1.0.10 munsell_0.5.0 fansi_1.0.4
[49] abind_1.4-5 lifecycle_1.0.3 stringi_1.7.12 whisker_0.4.1
[53] yaml_2.3.7 carData_3.0-5 MASS_7.3-60 grid_4.2.2
[57] parallel_4.2.2 promises_1.2.0.1 crayon_1.5.2 lattice_0.21-8
[61] splines_4.2.2 hms_1.1.3 knitr_1.43 ps_1.7.5
[65] pillar_1.9.0 glue_1.6.2 evaluate_0.21 getPass_0.2-2
[69] vctrs_0.6.3 tzdb_0.4.0 httpuv_1.6.11 Rttf2pt1_1.3.12
[73] cellranger_1.1.0 gtable_0.3.3 cachem_1.0.8 xfun_0.39
[77] broom_1.0.5 later_1.3.1 timechange_0.2.0