[英]Resize points of scatter plot in ggplot
I have data: 我有数据:
+-----------+---------+----------+
| AGE_group | mean_y | count_y |
+-----------+---------+----------+
| 1 | 0.141 | 1115 |
| 2 | 0.196 | 1043 |
| 3 | 0.202 | 1093 |
| 4 | 0.114 | 1123 |
+-----------+---------+----------+
I use ggpplot: 我用ggpplot:
g_age <- ggplot(AGE_group_df, aes(AGE_group, mean_y, group = 1)) +
geom_line(size=1, color='blue') +
geom_point(aes(size=AGE_group_df$count_y), color='darkblue') +
labs(x = 'Age Group',
y='% Subscribe',
title='Age Group and Subscribe Rate',
size='# Customer')
g_age
Problem: Size of second point (count is 1043) is very small compare to the others. 问题:第二点的大小(计数为1043)与其他点相比很小。
Question: How can I change the size of the points? 问题:如何更改积分大小? (I want to make size of all 4 points nearly equal) while keeping the original count unit.
(我想使所有4个点的大小几乎相等),同时保持原始计数单位。
Thank you very much. 非常感谢你。
You can use (at least) three approaches 您可以使用(至少)三种方法
scale_size_area
: scale_size_area()
scale_size_area
: scale_size_area()
scale_size
: scale_size(range = 4:5)
scale_size
的range参数: scale_size(range = 4:5)
count_y
: scale_size(limits = c(0, max(AGE_group_df$count_y))
count_y
: scale_size(limits = c(0, max(AGE_group_df$count_y))
Here more detailed: one option is to use scale_size_area
: 这里更详细:一种选择是使用
scale_size_area
:
AGE_group_df <- data.frame(AGE_group = 1:4,
mean_y = c(0.141, 0.196, 0.202, 0.114),
count_y = c(1115, 1043, 1093, 1123))
ggplot(AGE_group_df, aes(x = AGE_group, y = mean_y, size = count_y)) +
geom_line(size=1, color='blue') +
scale_size_area(breaks = round(seq(min(AGE_group_df$count_y),
max(AGE_group_df$count_y), length.out = 4), 0)) +
geom_point(color='darkblue') +
labs(x = 'Age Group',
y='% Subscribe',
title='Age Group and Subscribe Rate',
size='# Customer')
Another one to manually define the range argument in
scale_size
: 另一个在
scale_size
手动定义范围参数的scale_size
:
ggplot(AGE_group_df, aes(x = AGE_group, y = mean_y, size = count_y)) +
geom_line(size=1, color='blue') +
scale_size(breaks = round(seq(min(AGE_group_df$count_y),
max(AGE_group_df$count_y), length.out = 4), 0), range = 4:5) +
geom_point(color='darkblue') +
labs(x = 'Age Group',
y='% Subscribe',
title='Age Group and Subscribe Rate',
size='# Customer')
Third one is to set the lower limit for
scale_size
to 0: 第三个是将
scale_size
下限设置为0:
ggplot(AGE_group_df, aes(x = AGE_group, y = mean_y, size = count_y)) +
geom_line(size=1, color='blue') +
scale_size(breaks = round(seq(min(AGE_group_df$count_y),
max(AGE_group_df$count_y), length.out = 4), 0),
limits = c(0, max(AGE_group_df$count_y))) +
geom_point(color='darkblue') +
labs(x = 'Age Group',
y='% Subscribe',
title='Age Group and Subscribe Rate',
size='# Customer')
Note that you can define the size within the aes
function. 请注意,您可以在
aes
函数中定义大小。 I added breaks to show the minimum and maximum value, but that is not necessary. 我添加了休息时间以显示最小值和最大值,但这不是必需的。 It's just an extra feat.
这只是一个额外的壮举。
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