Greetings,
Here is a survival plot I made using survminer:

However, when calculating and showing the pair-wise log-rank p-values:
fitc <- pairwise_survdiff(Surv(force, event) ~ sample, data = chip_data, p.adjust.method="none")
fitc
Pairwise comparisons using Log-Rank test
data: chip_data and sample
Kinetochore Spc110-407 Spc72-AID
Spc110-407 0.946 - -
Spc72-AID 0.041 0.094 -
Wild Type <2e-16 <2e-16 <2e-16
P value adjustment method: none
It looks as though the labels in the table are incorrect. Judging by the image of the graph, the final row labeled "Wild Type" in this output, should actually be the "Kinetochore", which would have very significant p-values when compared to the other conditions. Judging by the reported p-values, it looks as though other rows and/or columns may be mislabeled as well.
please paste here the result of
devtools::session_info()
Session info -------------------------------------------------------------------------------------------------------------
setting value
version R version 3.4.0 (2017-04-21)
system x86_64, mingw32
ui RStudio (1.0.143)
language (EN)
collate English_United States.1252
tz America/Los_Angeles
date 2017-05-11
Packages -----------------------------------------------------------------------------------------------------------------
package * version date source
assertthat 0.2.0 2017-04-11 CRAN (R 3.4.0)
broom 0.4.2 2017-02-13 CRAN (R 3.4.0)
cmprsk 2.2-7 2014-06-17 CRAN (R 3.4.0)
colorspace 1.3-2 2016-12-14 CRAN (R 3.4.0)
data.table 1.10.4 2017-02-01 CRAN (R 3.4.0)
DBI 0.6-1 2017-04-01 CRAN (R 3.4.0)
devtools 1.12.0 2016-12-05 CRAN (R 3.4.0)
digest 0.6.12 2017-01-27 CRAN (R 3.4.0)
dplyr 0.5.0 2016-06-24 CRAN (R 3.4.0)
foreign 0.8-67 2016-09-13 CRAN (R 3.4.0)
ggplot2 * 2.2.1 2016-12-30 CRAN (R 3.4.0)
ggpubr * 0.1.2 2017-03-14 CRAN (R 3.4.0)
gridExtra 2.2.1 2016-02-29 CRAN (R 3.4.0)
gtable 0.2.0 2016-02-26 CRAN (R 3.4.0)
km.ci 0.5-2 2009-08-30 CRAN (R 3.4.0)
KMsurv 0.1-5 2012-12-03 CRAN (R 3.4.0)
knitr 1.15.1 2016-11-22 CRAN (R 3.4.0)
lattice 0.20-35 2017-03-25 CRAN (R 3.4.0)
lazyeval 0.2.0 2016-06-12 CRAN (R 3.4.0)
magrittr 1.5 2014-11-22 CRAN (R 3.4.0)
Matrix 1.2-9 2017-03-14 CRAN (R 3.4.0)
memoise 1.1.0 2017-04-21 CRAN (R 3.4.0)
mnormt 1.5-5 2016-10-15 CRAN (R 3.4.0)
munsell 0.4.3 2016-02-13 CRAN (R 3.4.0)
nlme 3.1-131 2017-02-06 CRAN (R 3.4.0)
plyr 1.8.4 2016-06-08 CRAN (R 3.4.0)
psych 1.7.5 2017-05-03 CRAN (R 3.4.0)
purrr 0.2.2 2016-06-18 CRAN (R 3.4.0)
R6 2.2.0 2016-10-05 CRAN (R 3.4.0)
Rcpp 0.12.10 2017-03-19 CRAN (R 3.4.0)
reshape2 1.4.2 2016-10-22 CRAN (R 3.4.0)
rstudioapi 0.6 2016-06-27 CRAN (R 3.4.0)
scales 0.4.1 2016-11-09 CRAN (R 3.4.0)
stringi 1.1.5 2017-04-07 CRAN (R 3.4.0)
stringr 1.2.0 2017-02-18 CRAN (R 3.4.0)
survival * 2.41-3 2017-04-04 CRAN (R 3.4.0)
survminer * 0.3.1.999 2017-05-05 Github (7b7d9fe)
survMisc 0.5.4 2016-11-23 CRAN (R 3.4.0)
tibble 1.3.0 2017-04-01 CRAN (R 3.4.0)
tidyr 0.6.2 2017-05-04 CRAN (R 3.4.0)
withr 1.0.2 2016-06-20 CRAN (R 3.4.0)
xtable 1.8-2 2016-02-05 CRAN (R 3.4.0)
zoo 1.8-0 2017-04-12 CRAN (R 3.4.0)
Greetings,
Here is a survival plot I made using survminer:
However, when calculating and showing the pair-wise log-rank p-values:
data: chip_data and sample
Spc110-407 0.946 - -
Spc72-AID 0.041 0.094 -
Wild Type <2e-16 <2e-16 <2e-16
P value adjustment method: none
It looks as though the labels in the table are incorrect. Judging by the image of the graph, the final row labeled "Wild Type" in this output, should actually be the "Kinetochore", which would have very significant p-values when compared to the other conditions. Judging by the reported p-values, it looks as though other rows and/or columns may be mislabeled as well.
please paste here the result of
Packages -----------------------------------------------------------------------------------------------------------------
package * version date source
assertthat 0.2.0 2017-04-11 CRAN (R 3.4.0)
broom 0.4.2 2017-02-13 CRAN (R 3.4.0)
cmprsk 2.2-7 2014-06-17 CRAN (R 3.4.0)
colorspace 1.3-2 2016-12-14 CRAN (R 3.4.0)
data.table 1.10.4 2017-02-01 CRAN (R 3.4.0)
DBI 0.6-1 2017-04-01 CRAN (R 3.4.0)
devtools 1.12.0 2016-12-05 CRAN (R 3.4.0)
digest 0.6.12 2017-01-27 CRAN (R 3.4.0)
dplyr 0.5.0 2016-06-24 CRAN (R 3.4.0)
foreign 0.8-67 2016-09-13 CRAN (R 3.4.0)
ggplot2 * 2.2.1 2016-12-30 CRAN (R 3.4.0)
ggpubr * 0.1.2 2017-03-14 CRAN (R 3.4.0)
gridExtra 2.2.1 2016-02-29 CRAN (R 3.4.0)
gtable 0.2.0 2016-02-26 CRAN (R 3.4.0)
km.ci 0.5-2 2009-08-30 CRAN (R 3.4.0)
KMsurv 0.1-5 2012-12-03 CRAN (R 3.4.0)
knitr 1.15.1 2016-11-22 CRAN (R 3.4.0)
lattice 0.20-35 2017-03-25 CRAN (R 3.4.0)
lazyeval 0.2.0 2016-06-12 CRAN (R 3.4.0)
magrittr 1.5 2014-11-22 CRAN (R 3.4.0)
Matrix 1.2-9 2017-03-14 CRAN (R 3.4.0)
memoise 1.1.0 2017-04-21 CRAN (R 3.4.0)
mnormt 1.5-5 2016-10-15 CRAN (R 3.4.0)
munsell 0.4.3 2016-02-13 CRAN (R 3.4.0)
nlme 3.1-131 2017-02-06 CRAN (R 3.4.0)
plyr 1.8.4 2016-06-08 CRAN (R 3.4.0)
psych 1.7.5 2017-05-03 CRAN (R 3.4.0)
purrr 0.2.2 2016-06-18 CRAN (R 3.4.0)
R6 2.2.0 2016-10-05 CRAN (R 3.4.0)
Rcpp 0.12.10 2017-03-19 CRAN (R 3.4.0)
reshape2 1.4.2 2016-10-22 CRAN (R 3.4.0)
rstudioapi 0.6 2016-06-27 CRAN (R 3.4.0)
scales 0.4.1 2016-11-09 CRAN (R 3.4.0)
stringi 1.1.5 2017-04-07 CRAN (R 3.4.0)
stringr 1.2.0 2017-02-18 CRAN (R 3.4.0)
survival * 2.41-3 2017-04-04 CRAN (R 3.4.0)
survminer * 0.3.1.999 2017-05-05 Github (7b7d9fe)
survMisc 0.5.4 2016-11-23 CRAN (R 3.4.0)
tibble 1.3.0 2017-04-01 CRAN (R 3.4.0)
tidyr 0.6.2 2017-05-04 CRAN (R 3.4.0)
withr 1.0.2 2016-06-20 CRAN (R 3.4.0)
xtable 1.8-2 2016-02-05 CRAN (R 3.4.0)
zoo 1.8-0 2017-04-12 CRAN (R 3.4.0)