Question

我有这个数据集：

head(long_format_female)

SampleID  variable       value
      R1     Week7      0.0000
      R1     Week9    478.8631
      R1    Week11  14412.3013
      R1    Week13 146708.1029
      R1    Week15 265801.9593
      R1    Week17 518708.2570
      R1    Week19 978497.0982
      R1    Week21          NA
      R2     Week7      0.0000
      R2     Week9      0.0000
      R2    Week11      0.0000
      R2    Week13      0.0000
      R2    Week15      0.0000
      R2    Week17    440.5659
      R2    Week19   1551.0876
      R2    Week21  12523.7732

我想绘制各个指数曲线（每个SampleID一行），显示几周内的特征增长。我尝试过这段代码，它给出了显示geom_points的预期输出数字，但没有geom_line。

ggplot(long_format_female, aes(x = variable, y = value, colour = factor(SampleID))) + 
  geom_point() + 
  geom_line() +
  stat_smooth(method = 'nls', formula = y ~ a*exp(b *x), aes(colour = 'Exponential'), se = FALSE, start = list(a=1,b=1)) + xlab("Time(weeks)") +
  ylab("Trait") + 
  theme(panel.border = element_blank(),
        axis.title=element_text(size=16), 
        panel.grid.major = element_blank(), 
        panel.grid.minor = element_blank(), 
        axis.line = element_line(colour = "black"))

我也收到这两条消息：

geom_smooth: Only one unique x value each group.Maybe you want aes(group = 1)?
geom_path: Each group consist of only one observation. Do you need to adjust the group aesthetic?

如何将geom_line添加到我的情节中？

Answer 1

根据我的经验，如果您要使用geom_line，则需要为x和y设置数值，geom_point对因素的容忍度更加宽容。

注意：在与Heroka讨论后，我们发现geom_line可以正常使用“分组因子”（即如果你在你的情节中指定了一个组参数），但不喜欢它们未分组和抱怨并且不会画一条线。

我真的不知道你想要做什么顺利，但我可能需要更好的数据。在任何情况下，当前ggplot2 2.0.0 start中都没有stat_smooth参数，因此您可能需要考虑在进一步操作之前更新ggplot2。

所以这是一个开始：

# fake some data
set.seed(1235)
weeks <- sprintf("week%d",1:9)
nsid <- 5
nwk <- 8
k <- 1
lst <- list()
slst <- list()
for (i in 1:nsid){
  sid <- sprintf("R%d",i)
  for (j in 1:nwk){
    wk <- sprintf("week%d",j)
    v <- round(i*rnorm(1,200,1) + rnorm(1,3,0.2)^j,1)
    lst[[k]] <- list(sid,i,wk,j,v)
    k <- k+1
  }
}
df <- lapply(data.frame(do.call(rbind,lst)),unlist) # combine then flatten
names(df) <- c("s","i","w","j","v")
long_format_female <- data.frame(SampleID=df$s,variable=df$w,value=df$v)

# need a numeric version of this factor
long_format_female$nvariable <- as.numeric(long_format_female$variable)

ggplot(long_format_female, aes(x = variable, y = value, colour = SampleID)) + 
  geom_point() + 
  geom_smooth(aes(x = nvariable, y = value)) +

  xlab("Time(weeks)") +
  ylab("Trait") + 
  scale_y_log10() +
  theme(panel.border = element_blank(),
        axis.title=element_text(size=16), 
        panel.grid.major = element_blank(), 
        panel.grid.minor = element_blank(), 
        axis.line = element_line(colour = "black"))

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