| title: “Trasplante de progenitores hematopoyéticos Clínica Colsánitas” |
| output: |
| flexdashboard::flex_dashboard: |
| orientation: columns |
| vertical_layout: fill |
trasplantes.ts <- ts(total,start = 2022,frequency = 12 )
plot(trasplantes.ts)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -71.46 44.20 58.05 52.53 63.64 74.34 1
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 5.00 13.00 16.00 16.75 19.00 51.00 6
## Ignoring unknown labels:
## • fill : "SLP"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SLP"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SLP"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SLP"
## • linetype : "1"
## Ignoring unknown labels:
## • colour : "SLP"
## Call: survfit(formula = Surv(SLP, evento, type = "right") ~ 1, data = Auto)
##
## 2 observations deleted due to missingness
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 365 131 40 0.832 0.0244 0.786 0.882
## Ignoring unknown labels:
## • fill : "SG"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SG"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SG"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SG"
## • linetype : "1"
## Ignoring unknown labels:
## • colour : "SG"
## Call: survfit(formula = Surv(SG, censura, type = "right") ~ 1, data = Auto)
##
## 2 observations deleted due to missingness
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 365 137 34 0.855 0.0233 0.811 0.902
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 21.82 43.04 48.28 49.20 60.20 66.67
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 13.00 20.00 22.00 24.35 26.00 59.00 1
## Ignoring unknown labels:
## • fill : "SLP"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SLP"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SLP"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SLP"
## • linetype : "1"
## Ignoring unknown labels:
## • colour : "SLP"
## Call: survfit(formula = Surv(SLP, evento, type = "right") ~ 1, data = identico)
##
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 365 31 21 0.625 0.0653 0.509 0.767
## Ignoring unknown labels:
## • fill : "SG"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SG"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SG"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SG"
## • linetype : "1"
## Ignoring unknown labels:
## • colour : "SG"
## Call: survfit(formula = Surv(SG, Censura, type = "right") ~ 1, data = identico)
##
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 365 37 15 0.732 0.0595 0.624 0.859
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 18.69 25.32 35.88 38.91 52.58 67.80
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 11.00 20.00 25.00 26.28 30.00 56.00 1
## Ignoring unknown labels:
## • fill : "SLP"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SLP"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SLP"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SLP"
## • linetype : "1"
## Ignoring unknown labels:
## • colour : "SLP"
## Call: survfit(formula = Surv(SLP, evento, type = "right") ~ 1, data = haplo)
##
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 365 35 43 0.526 0.0536 0.431 0.642
## Ignoring unknown labels:
## • fill : "SG"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SG"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SG"
## • linetype : "1"
## Ignoring unknown labels:
## • fill : "SG"
## • linetype : "1"
## Ignoring unknown labels:
## • colour : "SG"
## Call: survfit(formula = Surv(SG, Censura, type = "right") ~ 1, data = haplo)
##
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 365 36 42 0.54 0.0531 0.445 0.655