问题

我尝试在ggplot中制作一个与上面的直方图完全对齐的矩形图。有没有人知道如何使图的两个组件的宽度对齐？

这是图表。
![这是图表][1]

以下是生成图表的代码。

sunburst <- ggplot() + 
  scale_x_continuous(name="x") +
  ylim(-0.003540187, 0.004720250) +
  geom_rect(data=stroma_comp, mapping=aes(xmin=lower_lim, xmax=upper_lim,
                                          ymin=ymin,ymax=ymax,
                                          fill = stroma_bins), color='black', alpha=1) +
  geom_col(data = plot_sample,
           mapping = aes(x = row_id, y = cd8_density_total, fill = '#D3D3D3'),
           color='dark gray',
           alpha=1,
           position = position_dodge(0)) + # columns on outer level
  annotate("text", x = 1, y = -0.003540187, label = paste(sample_name, "\n", indication, "\n", pheno), size = 5,
           color = "black") +
  theme_void() +
  scale_fill_manual(values = c("0-10%" = "#FF7100",
                               "10-20%" = "#eb8e00",
                               "20-30%" = "#d4a600",
                               "30-40%" = "#bbb908",
                               "40-50%" = "#a1ca3c",
                               "50-60%" = "#85d865",
                               "60-70%" = "#66e58e",
                               "70-80%" = "#41efb6",
                               "80-90%" = "#0df8dd",
                               "90-100%" = "#00ffff"), guide = "none") +
  scale_color_discrete(guide = "none") +
  theme(
    panel.background = element_rect(fill='transparent'),
    plot.background = element_rect(fill='transparent', color=NA),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    legend.background = element_rect(fill='transparent'),
    legend.box.background = element_rect(fill='transparent')
  )

这是用于生成它们的数据框。

dput(stroma_comp)
structure(list(stroma_bins = structure(9:10, levels = c("0-10%", 
"10-20%", "20-30%", "30-40%", "40-50%", "50-60%", "60-70%", "70-80%", 
"80-90%", "90-100%"), class = "factor"), n = c(1.09, 6.09), upper_lim = c(1.09, 
7.18), lower_lim = c(0, 1.09), ymax = c(0, 0), ymin = c(-0.002360125, 
-0.002360125)), class = "data.frame", row.names = c(NA, -2L))

dput(plot_sample)
structure(list(Image = c("MW055 IF_Scan1.qptiff - resolution #1", 
"MW055 IF_Scan1.qptiff - resolution #1", "MW055 IF_Scan1.qptiff - resolution #1", 
"MW055 IF_Scan1.qptiff - resolution #1", "MW055 IF_Scan1.qptiff - resolution #1", 
"MW055 IF_Scan1.qptiff - resolution #1", "MW055 IF_Scan1.qptiff - resolution #1"
), Name = c("Tile 6", "Tile 3", "Tile 5", "Tile 2", "Tile 7", 
"Tile 4", "Tile 1"), tumor_stroma_epi_nsclc_v2..Epithelium.area.µm.2 = c(98.9314, 
8.9938, 78.9453, 165.885, 43.9696, 82.9425, 55.9612), tumor_stroma_epi_nsclc_v2..Necrosis.area.µm.2 = c(18.9868, 
0, 1.9986, 116.919, 0, 0, 0), tumor_stroma_epi_nsclc_v2..Stroma.area.µm.2 = c(50773.8184, 
3895.3008, 29928.2617, 71677.3322, 58207.6645, 15441.3, 21588.0416
), tumor_stroma_epi_nsclc_v2..Tumor.area.µm.2 = c(7216, 56.9605, 
340.7639, 3572.5244, 1564.9156, 1187.1774, 1162.1947), Area.µm.2 = c(94309.7, 
11209.7, 46866.9, 102262.6, 88348.2, 17987.8, 57560.1), ID = c("MW055 IF_Scan1.qptiff - resolution #1-Tile 6", 
"MW055 IF_Scan1.qptiff - resolution #1-Tile 3", "MW055 IF_Scan1.qptiff - resolution #1-Tile 5", 
"MW055 IF_Scan1.qptiff - resolution #1-Tile 2", "MW055 IF_Scan1.qptiff - resolution #1-Tile 7", 
"MW055 IF_Scan1.qptiff - resolution #1-Tile 4", "MW055 IF_Scan1.qptiff - resolution #1-Tile 1"
), num_tumor_detections = c(52, 0, 0, 29, 11, 6, 12), tumor_cd45 = c(13, 
0, 0, 16, 8, 6, 8), tumor_cd8 = c(4, 0, 0, 0, 0, 0, 1), tumor_epi = c(35, 
0, 0, 12, 3, 0, 3), tumor_stromal = c(0, 0, 0, 1, 0, 0, 0), num_stroma_detections = c(290, 
16, 172, 350, 298, 105, 117), stroma_cd45 = c(163, 14, 117, 168, 
184, 72, 80), stroma_cd8 = c(11, 0, 5, 16, 13, 4, 5), stroma_epi = c(10, 
1, 3, 19, 0, 3, 2), stroma_stromal = c(106, 1, 47, 147, 101, 
26, 30), num_epi_detections = c(0

<details>
<summary>英文:</summary>

I&#39;m trying to make a rectangular plot in ggplot that lines up exactly with the histogram above it. Does anyone have any idea on how to line up the widths of both components of the plot?

Here&#39;s the plot.
[![Here&#39;s the plot][1]][1]

Here&#39;s the code to produce the plot.

sunburst <- ggplot() +
scale_x_continuous(name="x") +
ylim(-0.003540187, 0.004720250) +
geom_rect(data=stroma_comp, mapping=aes(xmin=lower_lim, xmax=upper_lim,
ymin=ymin,ymax=ymax,
fill = stroma_bins), color='black', alpha=1) +
geom_col(data = plot_sample,
mapping = aes(x = row_id, y = cd8_density_total, fill = '#D3D3D3'),
color='dark gray',
alpha=1,
position = position_dodge(0)) + # columns on outer level
annotate("text", x = 1, y = -0.003540187, label = paste(sample_name, "\n", indication, "\n", pheno), size = 5,
color = "black") +
theme_void() +
scale_fill_manual(values = c("0-10%" = "#FF7100",
"10-20%" = "#eb8e00",
"20-30%" = "#d4a600",
"30-40%" = "#bbb908",
"40-50%" = "#a1ca3c",
"50-60%" = "#85d865",
"60-70%" = "#66e58e",
"70-80%" = "#41efb6",
"80-90%" = "#0df8dd",
"90-100%" = "#00ffff"), guide = "none") +
scale_color_discrete(guide = "none") +
theme(
panel.background = element_rect(fill='transparent'),
plot.background = element_rect(fill='transparent', color=NA),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
legend.background = element_rect(fill='transparent'),
legend.box.background = element_rect(fill='transparent')
)


And here are the dataframes used to produce them.

dput(stroma_comp)
structure(list(stroma_bins = structure(9:10, levels = c("0-10%",
"10-20%", "20-30%", "30-40%", "40-50%", "50-60%", "60-70%", "70-80%",
"80-90%", "90-100%"), class = "factor"), n = c(1.09, 6.09), upper_lim = c(1.09,
7.18), lower_lim = c(0, 1.09), ymax = c(0, 0), ymin = c(-0.002360125,
-0.002360125)), class = "data.frame", row.names = c(NA, -2L))

dput(plot_sample)
structure(list(Image = c("MW055 IF_Scan1.qptiff - resolution #1",
"MW055 IF_Scan1.qptiff - resolution #1", "MW055 IF_Scan1.qptiff - resolution #1",
"MW055 IF_Scan1.qptiff - resolution #1", "MW055 IF_Scan1.qptiff - resolution #1",
"MW055 IF_Scan1.qptiff - resolution #1", "MW055 IF_Scan1.qptiff - resolution #1"
), Name = c("Tile 6", "Tile 3", "Tile 5", "Tile 2", "Tile 7",
"Tile 4", "Tile 1"), tumor_stroma_epi_nsclc_v2..Epithelium.area.Âµm.2 = c(98.9314,
8.9938, 78.9453, 165.885, 43.9696, 82.9425, 55.9612), tumor_stroma_epi_nsclc_v2..Necrosis.area.Âµm.2 = c(18.9868,
0, 1.9986, 116.919, 0, 0, 0), tumor_stroma_epi_nsclc_v2..Stroma.area.Âµm.2 = c(50773.8184,
3895.3008, 29928.2617, 71677.3322, 58207.6645, 15441.3, 21588.0416
), tumor_stroma_epi_nsclc_v2..Tumor.area.Âµm.2 = c(7216, 56.9605,
340.7639, 3572.5244, 1564.9156, 1187.1774, 1162.1947), Area.Âµm.2 = c(94309.7,
11209.7, 46866.9, 102262.6, 88348.2, 17987.8, 57560.1), ID = c("MW055 IF_Scan1.qptiff - resolution #1-Tile 6",
"MW055 IF_Scan1.qptiff - resolution #1-Tile 3", "MW055 IF_Scan1.qptiff - resolution #1-Tile 5",
"MW055 IF_Scan1.qptiff - resolution #1-Tile 2", "MW055 IF_Scan1.qptiff - resolution #1-Tile 7",
"MW055 IF_Scan1.qptiff - resolution #1-Tile 4", "MW055 IF_Scan1.qptiff - resolution #1-Tile 1"
), num_tumor_detections = c(52, 0, 0, 29, 11, 6, 12), tumor_cd45 = c(13,
0, 0, 16, 8, 6, 8), tumor_cd8 = c(4, 0, 0, 0, 0, 0, 1), tumor_epi = c(35,
0, 0, 12, 3, 0, 3), tumor_stromal = c(0, 0, 0, 1, 0, 0, 0), num_stroma_detections = c(290,
16, 172, 350, 298, 105, 117), stroma_cd45 = c(163, 14, 117, 168,
184, 72, 80), stroma_cd8 = c(11, 0, 5, 16, 13, 4, 5), stroma_epi = c(10,
1, 3, 19, 0, 3, 2), stroma_stromal = c(106, 1, 47, 147, 101,
26, 30), num_epi_detections = c(0, 0, 0, 0, 0, 0, 0), epi_cd45 = c(0,
0, 0, 0, 0, 0, 0), epi_cd8 = c(0, 0, 0, 0, 0, 0, 0), epi_epi = c(0,
0, 0, 0, 0, 0, 0), epi_stromal = c(0, 0, 0, 0, 0, 0, 0), num_necro_detections = c(0,
0, 0, 0, 0, 0, 0), necro_cd45 = c(0, 0, 0, 0, 0, 0, 0), necro_cd8 = c(0,
0, 0, 0, 0, 0, 0), necro_epi = c(0, 0, 0, 0, 0, 0, 0), necro_stromal = c(0,
0, 0, 0, 0, 0, 0), total_cells = c(342, 16, 172, 379, 309, 111,
129), total_cd8 = c(15, 0, 5, 16, 13, 4, 6), total_epithelial = c(45,
1, 3, 31, 3, 3, 5), tissue_area = c(58107.7366, 3961.2551, 30349.9695,
75532.6606, 59816.5497, 16711.4199, 22806.1975), cd8_percent = c(0.043859649122807,
0, 0.0290697674418605, 0.0422163588390501, 0.0420711974110032,
0.036036036036036, 0.0465116279069767), cd8_density_stroma = c(0.000216647089910417,
0, 0.000167066168096225, 0.000223222593655627, 0.000223338285630752,
0.000259045546683246, 0.000231609707478051), cd8_density_tumor = c(0.000554323725055432,
0, 0, 0, 0, 0, 0.000860441025931369), cd8_density_total = c(0.000258141185282374,
0, 0.000164744811358048, 0.000211828894585503, 0.000217331157768199,
0.000239357279269848, 0.000263086382550182), stroma_percentage = c(0.873787577539202,
0.983350150814574, 0.986105165608157, 0.948958127922744, 0.973103008982145,
0.923996889097377, 0.94658662848114), cd8_density_ratio = c(2.55864837734328,
NaN, 0, 0, 0, 0, 3.71504733243062), stroma_bins = structure(c(9L,
10L, 10L, 10L, 10L, 10L, 10L), levels = c("0-10%", "10-20%",
"20-30%", "30-40%", "40-50%", "50-60%", "60-70%", "70-80%", "80-90%",
"90-100%"), class = "factor"), cd8_percent_bins = structure(c(3L,
1L, 2L, 3L, 3L, 2L, 3L), levels = c("0-2% CD8+ Cells", "2-4% CD8+ Cells",
"4-6% CD8+ Cells", "6-8% CD8+ Cells", "8-10% CD8+ Cells", "10-15% CD8+ Cells",
"15-20% CD8+ Cells", ">20% CD8+ Cells"), class = "factor"), row_id = 1:7), row.names = c(1584L,
1581L, 1583L, 1580L, 1585L, 1582L, 1579L), class = "data.frame")


Apologies for the super long dataframes.
[1]: https://i.stack.imgur.com/f2eu0.png
</details>
# 答案1
**得分**: 1
你可以重新调整`geom_col()`的x坐标以适应`geom_rect()`的范围。然后，使用`geom_col()`中的`width`和`just`参数来对齐元素。下面是示例代码：
``` r
library(ggplot2)
max_x_rect <- max(stroma_comp$upper_lim)
max_row_id <- max(plot_sample$row_id)
scale <- max_x_rect / max_row_id
ggplot() + 
scale_x_continuous(name="x") +
ylim(-0.003540187, 0.004720250) +
geom_rect(data=stroma_comp, mapping=aes(xmin=lower_lim, xmax=upper_lim,
ymin=ymin,ymax=ymax,
fill = stroma_bins), color='black', alpha=1) +
geom_col(data = plot_sample,
mapping = aes(x = scale * row_id, y = cd8_density_total, fill = '#D3D3D3'),
color='dark gray',
width = 1,
alpha = 1,
just = 1,
position = position_dodge(0)) + # columns on outer level
#annotate("text", x = 1, y = -0.003540187, label = paste(sample_name, "\n", indication, "\n", pheno), size = 5,
#         color = "black") +
theme_void() +
scale_fill_manual(values = c("0-10%" = "#FF7100",
"10-20%" = "#eb8e00",
"20-30%" = "#d4a600",
"30-40%" = "#bbb908",
"40-50%" = "#a1ca3c",
"50-60%" = "#85d865",
"60-70%" = "#66e58e",
"70-80%" = "#41efb6",
"80-90%" = "#0df8dd",
"90-100%" = "#00ffff"), guide = "none") +
scale_color_discrete(guide = "none") +
theme(
panel.background = element_rect(fill='transparent'),
plot.background = element_rect(fill='transparent', color=NA),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
legend.background = element_rect(fill='transparent'),
legend.box.background = element_rect(fill='transparent')
)

在ggplot2中，确保矩形和直方图图形的宽度完全匹配。

英文:

You can rescale the x coordinates for geom_col() to fit into the range of geom_rect(). Then align things with the arguments width and just in geom_col(). Here is what that can look like:

library(ggplot2)

max_x_rect &lt;- max(stroma_comp$upper_lim)
max_row_id &lt;- max(plot_sample$row_id)

scale &lt;- max_x_rect / max_row_id

ggplot() + 
  scale_x_continuous(name=&quot;x&quot;) +
  ylim(-0.003540187, 0.004720250) +
  geom_rect(data=stroma_comp, mapping=aes(xmin=lower_lim, xmax=upper_lim,
                                          ymin=ymin,ymax=ymax,
                                          fill = stroma_bins), color=&#39;black&#39;, alpha=1) +
  geom_col(data = plot_sample,
           mapping = aes(x = scale * row_id, y = cd8_density_total, fill = &#39;#D3D3D3&#39;),
           color=&#39;dark gray&#39;,
           width = 1,
           alpha = 1,
           just = 1,
           position = position_dodge(0)) + # columns on outer level
  #annotate(&quot;text&quot;, x = 1, y = -0.003540187, label = paste(sample_name, &quot;\n&quot;, indication, &quot;\n&quot;, pheno), size = 5,
  #         color = &quot;black&quot;) +
  theme_void() +
  scale_fill_manual(values = c(&quot;0-10%&quot; = &quot;#FF7100&quot;,
                               &quot;10-20%&quot; = &quot;#eb8e00&quot;,
                               &quot;20-30%&quot; = &quot;#d4a600&quot;,
                               &quot;30-40%&quot; = &quot;#bbb908&quot;,
                               &quot;40-50%&quot; = &quot;#a1ca3c&quot;,
                               &quot;50-60%&quot; = &quot;#85d865&quot;,
                               &quot;60-70%&quot; = &quot;#66e58e&quot;,
                               &quot;70-80%&quot; = &quot;#41efb6&quot;,
                               &quot;80-90%&quot; = &quot;#0df8dd&quot;,
                               &quot;90-100%&quot; = &quot;#00ffff&quot;), guide = &quot;none&quot;) +
  scale_color_discrete(guide = &quot;none&quot;) +
  theme(
    panel.background = element_rect(fill=&#39;transparent&#39;),
    plot.background = element_rect(fill=&#39;transparent&#39;, color=NA),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    legend.background = element_rect(fill=&#39;transparent&#39;),
    legend.box.background = element_rect(fill=&#39;transparent&#39;)
  )

在ggplot2中，确保矩形和直方图图形的宽度完全匹配。

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在ggplot2中，确保矩形和直方图图形的宽度完全匹配。

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