在R ggplot宽格式中创建for循环

Question

我试图解决两个问题来创建一个完整的图（最好在ggplot中）。首先，我认为我需要为广泛的数据开发一个for循环，以便我可以在单个绘图上绘制多个系列作为单独的行。其次，我需要在单个系列的顶部绘制另一列（气候数据，不同的y值）。我知道关于双轴图有很多争论，但客户要求这个特定的图，我无法绕过它。

这是理想的曲线，产生（从2011 publication借来的）

我的数据目前在宽格式，以及我的想法是创建一个for循环2:13列，以生产个人灰色每个系列的线。然后，我希望能够选择性地将顶部的某个月份（列14:25）添加为红色。如果我可以有选择地抽出几个月并将它们绘制在灰色数据系列上，我很乐意切换到长格式。以下是一小部分数据，实际数据集要大得多。

WideDF <- structure(list(Year = c("2008", "2009", "2010", "2011", "2012", 
"2013", "2014"), M3T1045 = c(153.821659726048, 123.081558884975, 
176.771512423309, 181.76302562778, 121.366484915564, 112.166318263156, 
83.430179685548), M3T2045 = c(1979.67428393397, 2304.69652323779, 
2038.57278760525, 1598.21780623635, 1698.10896695776, 1282.44883906715, 
1243.48492202174), M3T3045 = c(2059.61060104009, 2538.3591621577, 
2836.19881815023, 2529.3912848661, 2715.04505989801, 2137.18245498415, 
1914.61513277697), M3T4045 = c(3923.28951818649, 4180.76535402238, 
4214.78156108969, 4295.05332803458, 4522.22790268241, 4472.36745319943, 
4098.5309021999), M3T5045 = c(2018.8160905218, 1997.65271391178, 
2079.82809750919, 2248.83387563616, 2494.15706661903, 1355.10547024274, 
1353.37214047842), M3T6045 = c(4409.16623051298, 4276.51428713093, 
3831.60326756482, 3308.15549785341, 4045.82249844548, 4462.00875828256, 
3572.81219768132), M3U1045 = c(113.83650201514, 118.780241020127, 
114.984700722952, 133.421492210513, 205.600098647934, 122.476010617811, 
97.1844650220458), M3U2045 = c(337.787032910181, 376.487106438174, 
430.035628616836, 414.099557447903, 458.763256619945, 331.056861800248, 
238.741139683364), M3U3045 = c(320.507421943828, 322.708996668388, 
313.17219893837, 270.058319678974, 376.456328254947, 267.987391226506, 
296.912173018184), M3U4045 = c(1095.26781018262, 1138.4400696583, 
1401.22300738868, 1387.70010663431, 1658.03042540523, 1230.4459207838, 
987.787227627777), M3U5045 = c(125.346087984721, 127.324176091091, 
111.68607241898, 164.421987100271, 241.013673561191, 158.550165076745, 
157.942524508873), M3U6045 = c(774.63712785103, 824.750682887739, 
745.467515460673, 666.817790501942, 988.567171986328, 654.042598223899, 
559.472739395766), Jan = c(1.11, 3.38, 3.41, 1.26, 1.02, -1.39, 
1.71), Feb = c(2.32, 2.85, 3.09, 0.97, -1.52, -1.22, 1.55), Mar = c(2.47, 
2.1, 3.59, 1.31, -2.29, -1.62, 1.7), Apr = c(2.45, 2, 2.5, 1.96, 
-1.93, -2.14, 1.45), May = c(1.44, 1.97, 1.47, 2.12, -1.26, -1.35, 
1.48), Jun = c(1.77, 3.53, 1.86, 1.74, 2.06, 1.57, 1.73), Jul = c(2.07, 
4.66, 1.14, 1.1, 1.07, 2.28, 3.09), Aug = c(2.83, 4.74, -1.6, 
2.55, 1.08, 2.79, 3.05), Sep = c(4.04, 3.63, -1.22, 2.26, 1.5, 
3.48, 1.92), Oct = c(3.89, 4.21, 0.97, 2.7, 2.46, 2.31, 2.53), 
    Nov = c(4.09, 3.97, 1.28, 1.67, 1.12, 2.13, 2.16), Dec = c(4.21, 
    3.79, 2.05, 1.38, 1.51, 1.84, 2.71)), .Names = c("Year", 
"M3T1045", "M3T2045", "M3T3045", "M3T4045", "M3T5045", "M3T6045", 
"M3U1045", "M3U2045", "M3U3045", "M3U4045", "M3U5045", "M3U6045", 
"Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", 
"Oct", "Nov", "Dec"), row.names = 65:71, class = "data.frame") 

我已试过后here，但我会创建一个行代码为每个系列。

我也尝试使用由Didzis here提供的for循环，但不断得到每个组只包含1个观测值的错误。这是我尝试使用的代码：

plotAllLayers(WideDF) 
fields <- names(WideDF[,1:13]) 
p <- ggplot(aes(x=Year), data=WideDF) 
for (i in 2:length(fields)) { 
loop_input = paste("geom_smooth(aes(y=",fields[i],",color='",fields[i],"'))", sep="") 
p <- p + eval(parse(text=loop_input)) 
} 
p <- p + guides(color = guide_legend(title = "",)) 
p 

任何帮助将不胜感激解决这个问题。

Answer 1

你的数据很混乱，你不能真正使用你的变量M3T或M3U。 另外，你应该切换到长格式，并避免在ggplot2中做一个循环。

这里是如何做到这一点的为例：

library(tidyverse) 

coef_shrink <- 120 
month_picked <- month.abb[1] 

# convert to long format: 
longdf <- WideDF %>% 
    gather(key = var, value = measure 
     , -Year) 

# limit to the monthly variables: 
longdf_year <- longdf %>% 
    filter(var %in% month_picked) %>% 
    mutate(measure = measure * coef_shrink) 

# limit to the M* variables 
longdf_MTU <- longdf %>% 
    filter(!var %in% month.abb) 

# plot: 
ggplot(longdf_MTU, aes(x = Year, y = measure, group = var)) + 
    geom_line() + 
    geom_line(data = longdf_year, aes(x = Year, y = measure), color = "red")+ 
    scale_y_continuous(
    "var 1", 
    sec.axis = sec_axis(~ ./coef_shrink, name = "var 2") 
)