ggplot for a list?

[bic ton]

​ Hi,

My data looks like this:

I want to plot histogram (like the attached one) and I know it can be done like this:

ggplot() + geom_histogram()

 

However, here I have a list and I am not sure how I do it. If I convert to dataframe, I will los the order that I want to keep in the graph  (1  and 3).

 

list(structure(list(Group.1 = structure(3:4, .Label = c("A",

"B", "C", "D", "E", "F"), class = "factor"), Pr1 = c(65, 75), Pr2 = c(54, 88), Prh = c(25, 5), SE = c(25, 75 )), row.names = c(NA, -2L), class = "data.frame"),NULL, structure(list( Group.1 = structure(3:4, .Label = c("A",

"B", "C", "D", "E", "F"), class = "factor"), Pr1 = c(81,4), Pr2 = c(66, 57),Prh = c(3,3), SE = c(8, 9)), row.names = c(NA,

-2L), class = "data.frame"))

Any help on this?

Thanks

Bick

[Brandon Hurr]

Bick,

When you import the data, can you create the missing groupings? Trying to do it after the fact is really hard. Once you do that, it's super easy to compact this with dplyr::bind_rows().

> bic_data %>% dplyr::bind_rows()
  Group.1 Pr1 Pr2 Prh SE
1       C  65  54  25 25
2       D  75  88   5 75
3       C  81  66   3  8
4       D   4  57   3  9

If you put a group variable in:

bic_data2 <- list(structure(list(super_group = c(1,1), Group.1 = structure(3:4, .Label = c("A",

"B", "C", "D", "E", "F"), class = "factor"), Pr1 = c(65, 75), Pr2 = c(54, 88), Prh = c(25, 5), SE = c(25, 75 )), row.names = c(NA, -2L), class = "data.frame"), NULL, structure(list(super_group = c(3,3), Group.1 = structure(3:4, .Label = c("A",

"B", "C", "D", "E", "F"), class = "factor"), Pr1 = c(81,4), Pr2 = c(66, 57),Prh = c(3,3), SE = c(8, 9)), row.names = c(NA,

-2L), class = "data.frame"))

bic_data2 %>%

bind_rows() %>%

ggplot(., aes(x = Group.1, y = Pr1, fill = Group.1)) +

geom_bar(stat = "identity") +

facet_grid(. ~ super_group)

HTH

B

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