addign x y axis limit, good to go

[shajoezhu]

close #183

replace #184

[github-actions]

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[shajoezhu]

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[github-actions]

Code Coverage Summary

Filename               Stmts    Miss  Cover    Missing
-------------------  -------  ------  -------  ----------
R/assert_data.R           63       0  100.00%
R/covariance_plot.R       52       5  90.38%   41, 84-87
R/fit_mmrm.R              44       0  100.00%
R/formula.R               45       0  100.00%
R/g_mmrm.R               314       7  97.77%   66-71, 306
R/labels.R                23       0  100.00%
R/lsmeans.R              205       0  100.00%
R/subgroups.R            265       0  100.00%
R/tabulate_mmrm.R         83       0  100.00%
R/utils.R                  4       0  100.00%
TOTAL                   1098      12  98.91%

Diff against main

Filename      Stmts    Miss  Cover
----------  -------  ------  -------
R/g_mmrm.R       +1       0  +0.01%
TOTAL            +1       0  +0.00%

Results for commit: 249260e

Minimum allowed coverage is 80%

♻️ This comment has been updated with latest results

[github-actions]

Unit Tests Summary

  1 files   11 suites   17s ⏱️
110 tests  81 ✅ 29 💤 0 ❌
219 runs  178 ✅ 41 💤 0 ❌

Results for commit 249260e.

♻️ This comment has been updated with latest results.

[shajoezhu]

library(dplyr)
library(tern.mmrm)

adsl <- random.cdisc.data::cadsl
adqs <- random.cdisc.data::cadqs

adqs_f <- adqs %>%
dplyr::filter(PARAMCD == "FKSI-FWB" & !AVISIT %in% c("BASELINE")) %>%
droplevels() %>%
dplyr::mutate(ARM = factor(ARM, levels = c("B: Placebo", "A: Drug X", "C: Combination"))) %>%
dplyr::mutate(AVISITN = rank(AVISITN) %>% as.factor() %>% as.numeric() %>% as.factor())

mmrm_results <- fit_mmrm(
vars = list(
response = "AVAL",
covariates = c("STRATA2"),
id = "USUBJID",
arm = "ARM",
visit = "AVISIT"
),
data = adqs_f
)

plot <- g_mmrm_lsmeans(
mmrm_results,
select = "estimates",
xlab = "Visit"
#, ylimits = c(30, 90)
)
plot

plot2 <- g_mmrm_lsmeans(
     mmrm_results,
     select = "estimates",
     xlab = "Visit", ylimits = c(30, 90), xlimits = factor(c("WEEK 1 DAY 8", "WEEK 4 DAY 29"), levels = c("SCREENING", "WEEK 1 DAY 8", "WEEK 2 DAY 15", "WEEK 3 DAY 22", "WEEK 4 DAY 29", "WEEK 5 DAY 36"))
)
plot2

[edelarua]

Lgtm!