仅当在ggplot中将y轴的下限设置为0时,才会显示图形条 [英] Graph bars only appear when lower limit of y axis set to 0 in ggplot
问题描述
我正在尝试创建条形图.当我将限制设置为(0,7)时,出现条形图.但是,我希望下限为1,而不是0.当我将下限设置为1时,条形图不会出现.我收到以下错误消息:
删除了8个包含缺失值的行(geom_bar).
我如何设置限制并不重要.我已经使用了以下两个选项:
ylim(1,7)scale_y_continuous(极限= c(1,7))
有人知道我该如何解决吗?
我想要一个看起来像这样的图,但是将1作为下y轴标签,这意味着所有条形将向下移动1.
这是该图的完整代码:
完整%>%ggplot(aes(x =阶,y =均值))+geom_bar(stat ="identity",填充="003900",宽度= 0.5,position = position_dodge())+geom_errorbar(aes(ymin =平均值-se,ymax =平均值+ se),宽度= 0.2,位置= position_dodge(.9))+geom_text(aes(label = round(mean,digits = 1)),position = position_dodge(width = 1.0),vjust = -4.0,size = 3)+#facet_wrap(〜names)+实验室(标题=响应每条消息的行为意图")+#ylim(0,7)+scale_y_continuous(limits = c(1,7))+主题(axis.text = element_text(size = 7))+xlab(消息")+ylab(行为意图")
以下是可复制的数据:
structure(list(message = c("a","e"","h","m","convince_animals","convince_environment","convince_health","convince_money"),平均值= c(3.1038961038961、3.21052631578947、3.56、2.7972972972973,4.19512195121951、4.18536585365854、5.65365853658537、4.93658536585366),se = c(0.208814981196227,0.204609846510406,0.220760356801522,0.20542415978608、0.121188432228325、0.11075110910238、0.0896896391724367,0.120394657272105),类型= c(行为意图",行为意图",行为意图",行为意图",预期行为",在此,预期行为",预期行为",预期行为"被称为预期行为".),名称= c(动物",环境",健康",金钱",动物",环境",健康",金钱"),阶数= c(1,3、5、7、2、4、6、8)),row.names = c(NA,-8L),class = c("tbl_df",(tbl),"data.frame"))
看起来您正在通过设置限制来丢失数据,这使您的图变糟.您可以使用 coord_cartesian()
而不是 ylim()
来放大"数据;请参见
I am trying to create a bar graph. When I set the limits as (0,7), the bars appear. However, I would like the lower limit to be 1, not 0. When I set the lower limit to 1, the bars do not appear. I get the following error message:
Removed 8 rows containing missing values (geom_bar).
It doesn't matter how I set the limits. I have used both of the following options:
ylim(1, 7)
scale_y_continuous(limits = c(1, 7))
Does anyone know how I can fix this?
I'd like a graph that looks like this, but with 1 as the lower y-axis label, which would mean all the bars would be shifted down by 1.
Here's the full code for the graph:
full %>%
ggplot(aes(x = order, y = mean)) +
geom_bar(stat = "identity", fill = "003900", width = 0.5, position = position_dodge()) +
geom_errorbar(aes(ymin = mean - se, ymax = mean + se), width = .2, position = position_dodge(.9)) +
geom_text(aes(label = round(mean, digits =1)), position = position_dodge(width=1.0), vjust = -4.0, size = 3) +
#facet_wrap(~names) +
labs(title = "Behavioral intentions in response to each message") +
# ylim(0, 7) +
scale_y_continuous(limits = c(1, 7)) +
theme(axis.text = element_text(size = 7)) +
xlab("Message") +
ylab("Behavioral intentions")
Here's reproducible data:
structure(list(message = c("a", "e", "h", "m", "convince_animals",
"convince_environment", "convince_health", "convince_money"),
mean = c(3.1038961038961, 3.21052631578947, 3.56, 2.7972972972973,
4.19512195121951, 4.18536585365854, 5.65365853658537, 4.93658536585366
), se = c(0.208814981196227, 0.204609846510406, 0.220760356801522,
0.20542415978608, 0.121188432228325, 0.11075110910238, 0.0896896391724367,
0.120394657272105), type = c("Behavioral Intentions", "Behavioral Intentions",
"Behavioral Intentions", "Behavioral Intentions", "Expected Behavior",
"Expected Behavior", "Expected Behavior", "Expected Behavior"
), names = c("Animals", "Environment", "Health", "Money",
"Animals", "Environment", "Health", "Money"), order = c(1,
3, 5, 7, 2, 4, 6, 8)), row.names = c(NA, -8L), class = c("tbl_df",
"tbl", "data.frame"))
Looks like you're losing data by setting limits and it's screwing up your plot. You can use coord_cartesian()
instead of ylim()
to 'zoom in' on your data; see https://stackoverflow.com/a/25685952/12957340 and/or page 160 of the ggplot2 book for further info.
full %>%
ggplot(aes(x = order, y = mean)) +
geom_bar(stat = "identity", fill = "003900", width = 0.5, position = position_dodge()) +
geom_errorbar(aes(ymin = mean - se, ymax = mean + se), width = .2, position = position_dodge(.9)) +
geom_text(aes(label = round(mean, digits =1)), position = position_dodge(width=1.0), vjust = -4.0, size = 3) +
#facet_wrap(~names) +
labs(title = "Behavioral intentions in response to each message") +
coord_cartesian(ylim = c(1, 7)) +
theme(axis.text = element_text(size = 7)) +
xlab("Message") +
ylab("Behavioral intentions")
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