Why does ggtheme not print in ggsurvplot / R? - r

Question

Solved: packeges needed to be updated
Please find My Data below.
I have produced a combined Kaplan-Meier plot of progression-free and overall survival.
I have used the following script
pfs <- survfit(Surv(resp.time, response) ~ 1, conf.type="log", data=w)
os <- survfit(Surv(Follow.up.death, Death) ~ 1, conf.type="log", data=w)
fit <- list(PFS = pfs, OS = os)
ggsurvplot(fit, data = w, combine = TRUE,
risk.table = TRUE,
conf.int = TRUE,
conf.int.style = "ribbon",
censor = TRUE,
tables.theme = theme,
ggtheme = theme,
xlim = c(0,36),
ylim = c(0.25,1),
alpha=0.8,
size=0.7,
conf.int.alpha=c(0.1),
break.x.by = 6,
palette = c("#1C73C2","red"))
Which gave
As you can see, I have designed my own "theme" given by:
theme <- theme(axis.line = element_line(colour = "black"),
panel.grid.major = element_line(colour = "gray98"),
panel.grid.minor = element_line(colour = "gray98"),
panel.border = element_blank(),
panel.background = element_blank())
It seems that when I print the plot, theme is only added to table and not the plot itself although ggtheme=theme.
Can I add the theme somehow to the plot as in the table?
A sample of My Data
w <- structure(list(WHO = c(1L, 3L, 2L, 2L, 2L, 3L, 2L, 3L, 1L, 2L,
3L, 3L, 3L, 1L, 2L, 1L, 2L, 3L, 3L, 1L, 2L, 1L, 3L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 4L, 4L, 1L, 4L, 1L, 2L, 1L, 4L, 1L, 4L, 4L, 4L,
4L, 3L, 3L, 4L, 4L, 4L, 4L, 1L, 4L, 4L, 2L, 1L, 2L, 2L, 4L, 4L,
4L, 2L, 4L, 1L, 4L, 4L, 2L, 4L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 3L, 2L, 2L, 3L, 3L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L
), Death = c(0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L,
0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L,
0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L,
1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L,
0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L), Follow.up.death = c(18,
2, 14, 17, 31, 4, 20, 15, 12, 19, 10, 17, 27, 22, 3, 43, 24,
14, 13, 5, 12, 137, 22, 87, 48, 24, 72, 32, 14, 83, 68, 56, 57,
18, 16, 70, 1.9, 69.2, 126.3, 41.6, 17.9, 1.3, 87.4, 4.4, 137.4,
17.5, 95.8, 65.2, 14.8, 98.5, 16.6, 74.9, 10.3, 43.4, 32.5, 4.8,
7.3, 107.8, 6.8, 18.3, 33, 25.2, 49.2, 15.9, 1.2, 42.7, 1, 9,
1.8, 15.6, 8.9, 15, 16.4, 7.7, 75.5, 12.2, 54.8, 22.2, 9.7, 14.3,
5.2, 64.5, 21.8, 0.2, 7.3, 18.7, 5.1, 17.3, 27.4, 16, 24.2, 9.7,
8.2, 5.7, 41.8, 10.6, 22.8, 4.8, 6, 4, 50, 21, 30, 5, 11, 12),
response = c(0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L,
1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0L, 0L,
0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L,
0L, 0L, 0L, 0L, 0L), resp.time = c(18, 2, 13, 17, 22, 2,
6, 5, 12, 8, 3, 2, 1, 21, 2, 43, 4, 2, 4, 5, 0.1, 137, 4,
87, 17, 24, 72, 19, 14, 83, 68, 56, 57, 18, 14, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, 15.6, 8.9, 15, 16.4, 7.7, 75.5, 3, 54.8, 22.2, 12, 14.3,
6, 12, 21.8, 6, 3, 12, 3, 6, 3, 3, 12, 9.7, 3, 3, 12, 3,
6, 3, 6, 4, 50, 21, 30, 5, 11, 12)), .Names = c("WHO", "Death",
"Follow.up.death", "response", "resp.time"), class = "data.frame", row.names = c(NA,
-106L))

Answer 1

I think the major and minor gridlines are there, it's just incredibly faint and/or the something in the export settings means the exported image isn't detailed enough to display them.
With your code, modifying some of the parameters:
theme <- theme(axis.line = element_line(colour = "green"),
panel.grid.major = element_line(colour = "red"),
panel.grid.minor = element_line(colour = "blue"),
panel.border = element_blank(),
panel.background = element_blank())
With:
theme <- theme(axis.line = element_line(colour = "black"),
panel.grid.major = element_line(colour = "gray98"),
panel.grid.minor = element_line(colour = "gray98"),
panel.border = element_blank(),
panel.background = element_rect(fill = "#BFD5E3", colour = "#6D9EC1"))

Answer 2

That is really weird.
This is what I get
theme <- theme(axis.line = element_line(colour = "black"),
panel.grid.major = element_line(colour = "red"),
panel.grid.minor = element_line(colour = "red"),
panel.border = element_blank(),
panel.background = element_blank())
But I do get the following: Warning messages:
1: Removed 1 rows containing missing values (geom_path).
2: Removed 1 rows containing missing values (geom_path).