ggplot2: axis does not show all ticks/breaks - r

Question

I am currently plotting data using the ggpubr package in R (based on ggplot2). When I plot the means of two conditions including standard errors, the y-axis should be limited from 1 to 7, which I indicate using:
p <- ggline(data, x = "condition", y = "measure",
add = c("mean_se"),
ylab = "Measure")
ggpar(y, ylim = c(1, 7), ticks=T, yticks.by = 1)
In the final plot, however, the y-axis shows only values from 1 to 6
I tried to plot the same data using native ggplot2, but the problem persists, once I change the layout.
For ggplot2 I used:
p <- ggplot(data, aes(x=condition, y=measure)) +
geom_line() +
geom_point()+
geom_errorbar(aes(ymin=measure-se, ymax=measure+se), width=.2, position=position_dodge(0.05)) +
ylab("measure") +
xlab("Condition")
p + scale_y_continuous(name="measure", limits=c(1, 7), breaks=c(1:7))
p + theme_classic()
It would be great if someone could help me with this issue.
Edit:
as suggested in the comments, here is the data I am trying to plot using ggplot2:
structure(list(condition = structure(3:4, .Label = c("IC", "SC",
"ILC", "SLC"), class = "factor"), measure = c(4.10233918128655, 3.83040935672515
), se = c(0.235026318386523, 0.216811675834834)), class = "data.frame", row.names = c(NA,
-2L))

Answer 1

I think I got something resembling your plot with correct y-axes with the following code:
ggplot(data, aes(x = condition, y = measure)) +
geom_point() +
geom_errorbar(aes(ymin = measure-se, ymax = measure+se),
width = .2, position = position_dodge(0.05)) +
# Group prevents geom_line interpreting each x-axis point as it's own group
geom_line(aes(group = rep(1, nrow(data)))) +
xlab("Condition") +
# Expand is optional, it prevents padding beyond 1 and 7
scale_y_continuous(name = "measure",
limits = c(1, 7),
breaks = 1:7,
expand = c(0,0)) +
theme_classic()

Answer 2

The solution is much more trivial. You were doing everything right! Except for one clerical error. Here is what was happening:
First, you generate your initial plot, fine.
p <- ggplot(data, aes(x=condition, y=measure)) +
geom_line() + geom_point() +
geom_errorbar(aes(ymin=measure-se, ymax=measure+se),
width=.2, position=position_dodge(0.05)) +
ylab("measure") +
xlab("Condition")
This plot does not have the limits. When you add the limits and display it, the scales are correct:
p + scale_y_continuous(name="measure", limits=c(1, 7), breaks=c(1:7))
However, note that p did not change! You did not store the result of adding the limits to p. Therefore, p is still without the scale_y_continuous. No wonder then that when you type
p + theme_classic()
...the limits are gone. However, if you try
p <- p + scale_y_continuous(name="measure", limits=c(1, 7), breaks=c(1:7))
p + theme_classic()
everything will be correct.