grid.arrange - make grid higher / extend - r

Question

I would kindly like to ask for your help. I am trying to extend the graph grid below in order to fully display the three graphs. Everywhere I looked, I couldn't find any clues how to resize the actual grid, not each of the plots within them.
This is the code I am using:
p1 <- df %>%
filter(df$economic_area == "Poorer areas") %>%
group_by(cand_nm) %>%
summarise(sum = sum(contb_receipt_amt)) %>%
arrange(desc(sum)) %>%
ggplot(aes(x = reorder(cand_nm, -sum), y=sum)) + geom_bar(stat = "identity") +
theme(axis.text.x = element_text(angle = 55, hjust = 1)) +
scale_y_continuous(labels = comma) +
labs(x='Candidate',
y='Recieved donations in USD',
title='Donations per candidate from poorer areas')
p2 <- df %>%
filter(df$economic_area == "Middle income areas") %>%
group_by(cand_nm) %>%
summarise(sum = sum(contb_receipt_amt)) %>%
arrange(desc(sum)) %>%
ggplot(aes(x = reorder(cand_nm, -sum), y=sum)) + geom_bar(stat = "identity") +
theme(axis.text.x = element_text(angle = 55, hjust = 1)) +
scale_y_continuous(labels = comma) +
labs(x='Candidate',
y='Recieved donations in USD',
title='Donations per candidate from middle income areas')
p3 <- df %>%
filter(df$economic_area == "Upper class areas") %>%
group_by(cand_nm) %>%
summarise(sum = sum(contb_receipt_amt)) %>%
arrange(desc(sum)) %>%
ggplot(aes(x = reorder(cand_nm, -sum), y=sum)) + geom_bar(stat = "identity") +
theme(axis.text.x = element_text(angle = 55, hjust = 1)) +
scale_y_continuous(labels = comma) +
labs(x='Candidate',
y='Recieved donations in USD',
title='Donations per candidate from upper class areas')
grid.arrange(p1, p2, p3, nrow = 3, heights = c(10, 0.65, 0.65))
Thanks a lot for your help and best regards,
Trgovec
edit:
I have tried using facets as well, but it does not work.
p <- df %>%
group_by(cand_nm) %>%
summarise(sum = sum(contb_receipt_amt)) %>%
arrange(desc(sum)) %>%
ggplot(aes(x = reorder(cand_nm, -sum), y=sum)) + geom_bar(stat = "identity") +
theme(axis.text.x = element_text(angle = 55, hjust = 1)) +
scale_y_continuous(labels = comma) +
labs(x='Candidate',
y='Recieved donations in USD',
title='Recieved donations per candidate')
p + facet_grid(. ~ df$Median_household_income)
this is the error:
Error in `$<-.data.frame`(`*tmp*`, "PANEL", value = c(536L, 1279L, 380L, :
replacement has 618217 rows, data has 25
EDIT:
here is the reproducable dataset:
> dput(test)
structure(list(cand_nm = structure(c(4L, 4L, 20L, 23L, 1L, 20L,
19L, 5L, 23L, 1L, 12L, 3L, 19L, 2L, 5L, 8L, 16L, 6L, 12L, 3L,
4L, 15L, 24L, 22L, 11L, 2L, 17L, 6L, 9L, 17L, 11L, 19L, 8L, 16L,
22L, 20L, 13L, 24L, 5L, 23L, 15L, 25L, 9L, 14L, 9L, 10L, 21L,
13L, 1L, 10L, 18L, 12L, 21L, 14L, 2L, 7L, 17L, 16L, 25L, 22L,
3L, 8L, 15L, 18L, 6L, 24L, 7L, 11L), .Label = c("Bush, Jeb",
"Carson, Benjamin S.", "Christie, Christopher J.", "Clinton, Hillary Rodham",
"Cruz, Rafael Edward 'Ted'", "Fiorina, Carly", "Gilmore, James S III",
"Graham, Lindsey O.", "Huckabee, Mike", "Jindal, Bobby", "Johnson, Gary",
"Kasich, John R.", "Lessig, Lawrence", "McMullin, Evan", "O'Malley, Martin Joseph",
"Pataki, George E.", "Paul, Rand", "Perry, James R. (Rick)",
"Rubio, Marco", "Sanders, Bernard", "Santorum, Richard J.", "Stein, Jill",
"Trump, Donald J.", "Walker, Scott", "Webb, James Henry Jr."), class = "factor"),
economic_area = structure(c(2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L,
3L, 3L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 1L, 2L, 2L,
2L, 2L, 3L, 2L, 3L, 2L, 3L, 3L, 1L, 3L, 3L, 3L, 1L, 2L, 3L,
1L, 1L, 3L, 2L, 3L, 2L, 1L, 2L, 2L, 3L, 1L, 3L, 2L, 1L, 3L,
3L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 1L
), .Label = c("Poorer areas", "Middle income areas", "Upper class areas"
), class = "factor"), sum = c(125925526.85, 16410009.07,
5622760.67, 4233067.76, 2551429, 1985456.25, 1626777.31,
1154448.33, 1104488.41, 860788, 621133.75, 587637, 566709.69,
436575.16, 358550.75, 271350.07, 227328.63, 218724.23, 211130.5,
211075, 197447.84, 195618, 192773, 191260.1, 167872.43, 161952.1,
141996.17, 121297.5, 92806, 80349.55, 70725.29, 66755, 63672,
62400, 58971, 48382.4, 48291.56, 44000, 43426.5, 38671.22,
37890, 29900, 28964, 21753, 20750, 19626.42, 16655.1, 15980.75,
15021, 12550, 12250, 12150, 9900, 8434.5, 6092, 5800, 5450,
4425.66, 4050, 2936, 2700, 2700, 2700, 1750, 1000, 1000,
600, 575)), row.names = c(NA, -68L), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"), vars = "cand_nm", drop = TRUE, .Names = c("cand_nm",
"economic_area", "sum"), indices = list(c(4L, 9L, 48L), c(13L,
25L, 54L), c(11L, 19L, 60L), c(0L, 1L, 20L), c(7L, 14L, 38L),
c(17L, 27L, 64L), c(55L, 66L), c(15L, 32L, 61L), c(28L, 42L,
44L), c(45L, 49L), c(24L, 30L, 67L), c(10L, 18L, 51L), c(36L,
47L), c(43L, 53L), c(21L, 40L, 62L), c(16L, 33L, 57L), c(26L,
29L, 56L), c(50L, 63L), c(6L, 12L, 31L), c(2L, 5L, 35L),
c(46L, 52L), c(23L, 34L, 59L), c(3L, 8L, 39L), c(22L, 37L,
65L), c(41L, 58L)), group_sizes = c(3L, 3L, 3L, 3L, 3L, 3L,
2L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 3L,
3L, 3L, 2L), biggest_group_size = 3L, labels = structure(list(
cand_nm = structure(1:25, .Label = c("Bush, Jeb", "Carson, Benjamin S.",
"Christie, Christopher J.", "Clinton, Hillary Rodham", "Cruz, Rafael Edward 'Ted'",
"Fiorina, Carly", "Gilmore, James S III", "Graham, Lindsey O.",
"Huckabee, Mike", "Jindal, Bobby", "Johnson, Gary", "Kasich, John R.",
"Lessig, Lawrence", "McMullin, Evan", "O'Malley, Martin Joseph",
"Pataki, George E.", "Paul, Rand", "Perry, James R. (Rick)",
"Rubio, Marco", "Sanders, Bernard", "Santorum, Richard J.",
"Stein, Jill", "Trump, Donald J.", "Walker, Scott", "Webb, James Henry Jr."
), class = "factor")), row.names = c(NA, -25L), class = "data.frame", vars = "cand_nm", drop = TRUE, .Names = "cand_nm"))
I would basically like to combine these three graphs into one extended graph grid / page:
1)
2)
3)