Nothing
Code
print(dplyr::mutate(ard_survival_survfit(survival::survfit(survival::Surv(AVAL,
CNSR) ~ TRTA, cards::ADTTE), times = c(60, 180)), stat = lapply(stat,
function(x) ifelse(is.numeric(x), cards::round5(x, 3), x))), n = Inf)
Message
{cards} data frame: 30 x 11
Output
group1 group1_level variable variable_level stat_name stat_label stat
1 TRTA Placebo time 60 n.risk Number o… 59
2 TRTA Placebo time 60 estimate Survival… 0.893
3 TRTA Placebo time 60 std.error Standard… 0.036
4 TRTA Placebo time 60 conf.high CI Upper… 0.966
5 TRTA Placebo time 60 conf.low CI Lower… 0.825
6 TRTA Placebo time 180 n.risk Number o… 35
7 TRTA Placebo time 180 estimate Survival… 0.651
8 TRTA Placebo time 180 std.error Standard… 0.061
9 TRTA Placebo time 180 conf.high CI Upper… 0.783
10 TRTA Placebo time 180 conf.low CI Lower… 0.541
11 TRTA Xanomeli… time 60 n.risk Number o… 14
12 TRTA Xanomeli… time 60 estimate Survival… 0.694
13 TRTA Xanomeli… time 60 std.error Standard… 0.071
14 TRTA Xanomeli… time 60 conf.high CI Upper… 0.849
15 TRTA Xanomeli… time 60 conf.low CI Lower… 0.568
16 TRTA Xanomeli… time 180 n.risk Number o… 3
17 TRTA Xanomeli… time 180 estimate Survival… 0.262
18 TRTA Xanomeli… time 180 std.error Standard… 0.14
19 TRTA Xanomeli… time 180 conf.high CI Upper… 0.749
20 TRTA Xanomeli… time 180 conf.low CI Lower… 0.092
21 TRTA Xanomeli… time 60 n.risk Number o… 20
22 TRTA Xanomeli… time 60 estimate Survival… 0.732
23 TRTA Xanomeli… time 60 std.error Standard… 0.068
24 TRTA Xanomeli… time 60 conf.high CI Upper… 0.878
25 TRTA Xanomeli… time 60 conf.low CI Lower… 0.61
26 TRTA Xanomeli… time 180 n.risk Number o… 5
27 TRTA Xanomeli… time 180 estimate Survival… 0.381
28 TRTA Xanomeli… time 180 std.error Standard… 0.13
29 TRTA Xanomeli… time 180 conf.high CI Upper… 0.743
30 TRTA Xanomeli… time 180 conf.low CI Lower… 0.195
Message
i 4 more variables: context, fmt_fn, warning, error
Code
print(dplyr::mutate(ard_survival_survfit(survival::survfit(survival::Surv(AVAL,
CNSR) ~ TRTA, cards::ADTTE), times = c(60, 180), type = "risk"), stat = lapply(
stat, function(x) ifelse(is.numeric(x), cards::round5(x, 3), x))), n = Inf)
Message
{cards} data frame: 30 x 11
Output
group1 group1_level variable variable_level stat_name stat_label stat
1 TRTA Placebo time 60 n.risk Number o… 59
2 TRTA Placebo time 60 estimate Survival… 0.107
3 TRTA Placebo time 60 std.error Standard… 0.036
4 TRTA Placebo time 60 conf.high CI Upper… 0.175
5 TRTA Placebo time 60 conf.low CI Lower… 0.034
6 TRTA Placebo time 180 n.risk Number o… 35
7 TRTA Placebo time 180 estimate Survival… 0.349
8 TRTA Placebo time 180 std.error Standard… 0.061
9 TRTA Placebo time 180 conf.high CI Upper… 0.459
10 TRTA Placebo time 180 conf.low CI Lower… 0.217
11 TRTA Xanomeli… time 60 n.risk Number o… 14
12 TRTA Xanomeli… time 60 estimate Survival… 0.306
13 TRTA Xanomeli… time 60 std.error Standard… 0.071
14 TRTA Xanomeli… time 60 conf.high CI Upper… 0.432
15 TRTA Xanomeli… time 60 conf.low CI Lower… 0.151
16 TRTA Xanomeli… time 180 n.risk Number o… 3
17 TRTA Xanomeli… time 180 estimate Survival… 0.738
18 TRTA Xanomeli… time 180 std.error Standard… 0.14
19 TRTA Xanomeli… time 180 conf.high CI Upper… 0.908
20 TRTA Xanomeli… time 180 conf.low CI Lower… 0.251
21 TRTA Xanomeli… time 60 n.risk Number o… 20
22 TRTA Xanomeli… time 60 estimate Survival… 0.268
23 TRTA Xanomeli… time 60 std.error Standard… 0.068
24 TRTA Xanomeli… time 60 conf.high CI Upper… 0.39
25 TRTA Xanomeli… time 60 conf.low CI Lower… 0.122
26 TRTA Xanomeli… time 180 n.risk Number o… 5
27 TRTA Xanomeli… time 180 estimate Survival… 0.619
28 TRTA Xanomeli… time 180 std.error Standard… 0.13
29 TRTA Xanomeli… time 180 conf.high CI Upper… 0.805
30 TRTA Xanomeli… time 180 conf.low CI Lower… 0.257
Message
i 4 more variables: context, fmt_fn, warning, error
Code
print(dplyr::mutate(ard_survival_survfit(survival::survfit(survival::Surv(AVAL,
CNSR) ~ TRTA, cards::ADTTE), probs = c(0.25, 0.75)), stat = lapply(stat,
function(x) ifelse(is.numeric(x), cards::round5(x, 3), x))), n = Inf)
Message
{cards} data frame: 18 x 11
Output
group1 group1_level variable variable_level stat_name stat_label stat
1 TRTA Placebo prob 0.25 estimate Survival… 142
2 TRTA Placebo prob 0.25 conf.high CI Upper… 181
3 TRTA Placebo prob 0.25 conf.low CI Lower… 70
4 TRTA Placebo prob 0.75 estimate Survival… 184
5 TRTA Placebo prob 0.75 conf.high CI Upper… 191
6 TRTA Placebo prob 0.75 conf.low CI Lower… 183
7 TRTA Xanomeli… prob 0.25 estimate Survival… 44
8 TRTA Xanomeli… prob 0.25 conf.high CI Upper… 180
9 TRTA Xanomeli… prob 0.25 conf.low CI Lower… 22
10 TRTA Xanomeli… prob 0.75 estimate Survival… 188
11 TRTA Xanomeli… prob 0.75 conf.high CI Upper… NA
12 TRTA Xanomeli… prob 0.75 conf.low CI Lower… 167
13 TRTA Xanomeli… prob 0.25 estimate Survival… 49
14 TRTA Xanomeli… prob 0.25 conf.high CI Upper… 180
15 TRTA Xanomeli… prob 0.25 conf.low CI Lower… 37
16 TRTA Xanomeli… prob 0.75 estimate Survival… 184
17 TRTA Xanomeli… prob 0.75 conf.high CI Upper… NA
18 TRTA Xanomeli… prob 0.75 conf.low CI Lower… 180
Message
i 4 more variables: context, fmt_fn, warning, error
Code
print(dplyr::mutate(ard_survival_survfit(survival::survfit(survival::Surv(time,
status) ~ 1, data = survival::lung), times = c(60, 180)), stat = lapply(stat,
function(x) ifelse(is.numeric(x), cards::round5(x, 3), x))), n = Inf)
Message
{cards} data frame: 10 x 9
Output
variable variable_level context stat_name stat_label stat
1 time 60 survival n.risk Number o… 213
2 time 60 survival estimate Survival… 0.925
3 time 60 survival std.error Standard… 0.017
4 time 60 survival conf.high CI Upper… 0.96
5 time 60 survival conf.low CI Lower… 0.892
6 time 180 survival n.risk Number o… 160
7 time 180 survival estimate Survival… 0.722
8 time 180 survival std.error Standard… 0.03
9 time 180 survival conf.high CI Upper… 0.783
10 time 180 survival conf.low CI Lower… 0.666
Message
i 3 more variables: fmt_fn, warning, error
Code
print(dplyr::mutate(ard_survival_survfit(survival::survfit(survival::Surv(time,
status) ~ 1, data = survival::lung), probs = c(0.5, 0.75)), stat = lapply(
stat, function(x) ifelse(is.numeric(x), cards::round5(x, 3), x))), n = Inf)
Message
{cards} data frame: 6 x 9
Output
variable variable_level context stat_name stat_label stat
1 prob 0.5 survival… estimate Survival… 310
2 prob 0.5 survival… conf.high CI Upper… 363
3 prob 0.5 survival… conf.low CI Lower… 285
4 prob 0.75 survival… estimate Survival… 550
5 prob 0.75 survival… conf.high CI Upper… 654
6 prob 0.75 survival… conf.low CI Lower… 460
Message
i 3 more variables: fmt_fn, warning, error
Code
print(head(dplyr::select(dplyr::mutate(ard_survival_survfit(survival::survfit(
survival::Surv(time, status) ~ sex + ph.ecog, data = survival::lung), times = c(
60, 180)), stat = lapply(stat, function(x) ifelse(is.numeric(x), cards::round5(
x, 3), x))), "group1", "group1_level", "group2", "group2_level"), 20), n = Inf)
Message
{cards} data frame: 20 x 4
Output
group1 group1_level group2 group2_level
1 sex 1 ph.ecog 0
2 sex 1 ph.ecog 0
3 sex 1 ph.ecog 0
4 sex 1 ph.ecog 0
5 sex 1 ph.ecog 0
6 sex 1 ph.ecog 0
7 sex 1 ph.ecog 0
8 sex 1 ph.ecog 0
9 sex 1 ph.ecog 0
10 sex 1 ph.ecog 0
11 sex 1 ph.ecog 1
12 sex 1 ph.ecog 1
13 sex 1 ph.ecog 1
14 sex 1 ph.ecog 1
15 sex 1 ph.ecog 1
16 sex 1 ph.ecog 1
17 sex 1 ph.ecog 1
18 sex 1 ph.ecog 1
19 sex 1 ph.ecog 1
20 sex 1 ph.ecog 1
Code
print(head(dplyr::select(dplyr::mutate(ard_survival_survfit(survival::survfit(
survival::Surv(time, status) ~ sex + ph.ecog, data = survival::lung), probs = c(
0.5, 0.75)), stat = lapply(stat, function(x) ifelse(is.numeric(x), cards::round5(
x, 3), x))), "group1", "group1_level", "group2", "group2_level"), 20), n = Inf)
Message
{cards} data frame: 20 x 4
Output
group1 group1_level group2 group2_level
1 sex 1 ph.ecog 0
2 sex 1 ph.ecog 0
3 sex 1 ph.ecog 0
4 sex 1 ph.ecog 0
5 sex 1 ph.ecog 0
6 sex 1 ph.ecog 0
7 sex 1 ph.ecog 1
8 sex 1 ph.ecog 1
9 sex 1 ph.ecog 1
10 sex 1 ph.ecog 1
11 sex 1 ph.ecog 1
12 sex 1 ph.ecog 1
13 sex 1 ph.ecog 2
14 sex 1 ph.ecog 2
15 sex 1 ph.ecog 2
16 sex 1 ph.ecog 2
17 sex 1 ph.ecog 2
18 sex 1 ph.ecog 2
19 sex 1 ph.ecog 3
20 sex 1 ph.ecog 3
Code
print(dplyr::mutate(survival::survfit(survival::Surv(AVAL, CNSR) ~ TRTA, data = ADTTE_MS) %>%
ard_survival_survfit(times = c(60, 180)), stat = lapply(stat, function(x)
ifelse(is.numeric(x), cards::round5(x, 3), x))), n = Inf)
Message
Multi-state model detected. Showing probabilities into state 'death from cancer'.
{cards} data frame: 30 x 11
Output
group1 group1_level variable variable_level stat_name stat_label stat
1 TRTA Placebo time 60 n.risk Number o… 59
2 TRTA Placebo time 60 estimate Survival… 0.054
3 TRTA Placebo time 60 std.error Standard… 0.026
4 TRTA Placebo time 60 conf.high CI Upper… 0.14
5 TRTA Placebo time 60 conf.low CI Lower… 0.021
6 TRTA Placebo time 180 n.risk Number o… 35
7 TRTA Placebo time 180 estimate Survival… 0.226
8 TRTA Placebo time 180 std.error Standard… 0.054
9 TRTA Placebo time 180 conf.high CI Upper… 0.361
10 TRTA Placebo time 180 conf.low CI Lower… 0.142
11 TRTA Xanomeli… time 60 n.risk Number o… 14
12 TRTA Xanomeli… time 60 estimate Survival… 0.137
13 TRTA Xanomeli… time 60 std.error Standard… 0.057
14 TRTA Xanomeli… time 60 conf.high CI Upper… 0.311
15 TRTA Xanomeli… time 60 conf.low CI Lower… 0.06
16 TRTA Xanomeli… time 180 n.risk Number o… 3
17 TRTA Xanomeli… time 180 estimate Survival… 0.51
18 TRTA Xanomeli… time 180 std.error Standard… 0.145
19 TRTA Xanomeli… time 180 conf.high CI Upper… 0.892
20 TRTA Xanomeli… time 180 conf.low CI Lower… 0.292
21 TRTA Xanomeli… time 60 n.risk Number o… 20
22 TRTA Xanomeli… time 60 estimate Survival… 0.162
23 TRTA Xanomeli… time 60 std.error Standard… 0.059
24 TRTA Xanomeli… time 60 conf.high CI Upper… 0.33
25 TRTA Xanomeli… time 60 conf.low CI Lower… 0.08
26 TRTA Xanomeli… time 180 n.risk Number o… 5
27 TRTA Xanomeli… time 180 estimate Survival… 0.244
28 TRTA Xanomeli… time 180 std.error Standard… 0.093
29 TRTA Xanomeli… time 180 conf.high CI Upper… 0.516
30 TRTA Xanomeli… time 180 conf.low CI Lower… 0.115
Message
i 4 more variables: context, fmt_fn, warning, error
Code
ard_survival_survfit("not_survfit")
Condition
Error in `ard_survival_survfit()`:
! The `x` argument must be class <survfit>, not a string.
Code
ard_survival_survfit(survival::survfit(survival::Surv(AVAL, CNSR) ~ TRTA,
cards::ADTTE), times = 100, type = "notatype")
Condition
Error in `ard_survival_survfit()`:
! `type` must be one of "survival", "risk", or "cumhaz", not "notatype".
Code
ard_survival_survfit(survival::survfit(survival::Surv(AVAL, CNSR) ~ TRTA,
cards::ADTTE), times = 100, probs = c(0.25, 0.75))
Condition
Error in `ard_survival_survfit()`:
! One and only one of `times` and `probs` must be specified.
Code
ard_survival_survfit(survfit(coxph(Surv(time, status) ~ age + strata(sex),
survival::lung)))
Condition
Error in `ard_survival_survfit()`:
! Argument `x` cannot be class <survfitcox>.
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