How to change x-axis labels?

[miguel98dema]

I have a data which contains 2 different years, and I would like to do a ggplot putting in the x-axis the number of the weeks, but I'm not able because when I get the labels right with function scale_x_discrete, the lines moves.

wk_dt <- dt %>%
  filter((Description4=="SWF DULCE CHOCOLATE" | Description4=="SWF DULCE FRUTA PASION"| Description4=="SWF DULCE DULCE DE LECHE" | Description4=="MINI BROWNIE" | Description4=="BIZCOCHO ZANAHORIA" | Description4=="BIZCOCHO NARANJA-CHOCO")
         & IsMenuItem == NoMenu
         & wk_t > wk_current) %>%
  group_by(wk_t, Description4)%>% 
  summarize(Uds = sum(UNIDADES))%>% 
  mutate(Uds_per = Uds / sum(Uds))%>% 
  ggplot(aes(x=wk_t, y=Uds, color=Description4))+
  geom_line(size =2)+
  geom_point(size = 3) + # CON LOS PUNTOS SE PUEDE VER EL ARTÍCULO NUEVO ESTA SEMANA
  theme_minimal() + 
  labs(y = NULL ,x= "Semana del año") +
  ggtitle("UDS. SUELTAS POR SEMANA") + 
  theme(legend.position = 'top',
        legend.title = element_blank(), 
        legend.text = element_text(size=14),
        legend.key.size = unit(1, 'cm'),
        plot.title = element_text(size = 22, family = "serif", hjust = 0.5),
        axis.text = element_text(size = 15),
        axis.title.x = element_text(size = 17),
        legend.title.align = 0.5) +
  scale_x_discrete(limits = factor(c(seq(7,52,by=1),seq(1,6,by=1)))) +
  scale_y_continuous(breaks = seq(0,6000, by = 1000)) +
  guides(colour = guide_legend(nrow = 2,byrow= TRUE)) +
  scale_color_manual(values = c("darkseagreen","orange","chocolate", "saddlebrown","moccasin","violet"))

[andresrcs]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…