我有以下数据集。
TimeStamp data_1 data_2 data_3
15:11:37.474 99.791028 0.312498 99.47853
15:16:22.373 99.791028 0.729162 99.061866
15:21:37.424 99.791028 0.104166 99.686862
15:31:52.475 88.02027 90.520254
15:42:07.157 99.99936 0.208332 99.791028
15:43:22.279 99.99936 0.52083 99.47853
15:45:37.673 99.686862 0 99.686862
15:52:52.872 99.686862 0.729162 98.9577
我需要绘制如下的简单折线图。但是,所有都应该共享相同的X和Y轴。对于时间戳,5分钟的采样是可以的。
data_1 vs TimeStamp
data_2 vs TimeStamp
data_3 vs TimeStamp
到目前为止我所尝试的内容如下:
df <- read.csv(file="c:\\td.csv")
df1 <- round(df[-1], 1)
ggplot(df, aes(df$id, rdat$f1)) + geom_point()
我知道这不是正确的方法,任何帮助都表示赞赏。
答案 0 :(得分:0)
您似乎想要以下内容。您希望将宽格式的数据转换为长格式。我使用了melt()
,但您也可以在tidyr包中使用gather()
。从那里,你只需创建一个图形。我不明白你的意思是说“对于时间戳,用5分钟取样就好了。”如果您需要进一步的数据操作,这将有助于您进一步。
library(reshape2)
library(ggplot2)
temp <- melt(mydf, id.vars = "TimeStamp", variable.name = "data")
ggplot(data = temp, aes(x = TimeStamp, y = value, color = data,
group = data)) +
geom_line() +
theme(axis.text.x = element_text(angle = 45, hjust = 1))
DATA
mydf <- structure(list(TimeStamp = structure(1:8, .Label = c("15:11:37.474",
"15:16:22.373", "15:21:37.424", "15:31:52.475", "15:42:07.157",
"15:43:22.279", "15:45:37.673", "15:52:52.872"), class = "factor"),
data_1 = c(99.791028, 99.791028, 99.791028, 88.02027, 99.99936,
99.99936, 99.686862, 99.686862), data_2 = c(0.312498, 0.729162,
0.104166, NA, 0.208332, 0.52083, 0, 0.729162), data_3 = c(99.47853,
99.061866, 99.686862, 90.520254, 99.791028, 99.47853, 99.686862,
98.9577)), .Names = c("TimeStamp", "data_1", "data_2", "data_3"
), class = "data.frame", row.names = c(NA, -8L))