如题~~~
数据及错误信息如下~~~[s:16]
<br />
> m75n_CK<br />
mn day Ca_g Cb_g kind<br />
3 C75wCa4 4 950.5015 597.6253 wC<br />
4 C75wCa4 4 955.4978 599.9147 wC<br />
5 C75wCb4 4 1195.6732 502.3903 wC<br />
6 C75wCb4 4 1208.1229 491.2602 wC<br />
7 C75mCa4 4 971.6662 607.7172 mC<br />
8 C75mCa4 4 947.4915 593.7935 mC<br />
9 C75mCb4 4 1136.0448 371.2519 mC<br />
10 C75mCb4 4 1131.6812 363.2711 mC<br />
1 C75nCa4 4 957.0268 476.3933 nC<br />
2 C75nCa4 4 950.9860 487.7185 nC<br />
11 C75nCb4 4 1049.5224 410.5641 nC<br />
12 C75nCb4 4 1050.4903 414.7311 nC<br />
> bargraph.CI(day,Ca_g,data=m75n_CK,group=kind,bty=o,cex.lab=0.4,x.leg=0.5,col=clor3,cex.names = 0.9,legend = FALSE,ylim=c(0,430),err.width=0.03)<br />
Error in sort.list(y) : 'x' must be atomic for 'sort.list'<br />
Have you called 'sort' on a list?<br />
> traceback()<br />
6: stop("'x' must be atomic for 'sort.list'\nHave you called 'sort' on a list?")<br />
5: sort.list(y)<br />
4: factor(x)<br />
3: as.factor(INDEX[[i]])<br />
2: tapply(response, groups, fun)<br />
1: bargraph.CI(day, Ca_g, data = m75n_CK, group = kind, bty = o,<br />
cex.lab = 0.4, x.leg = 0.5, col = clor3, cex.names = 0.9,<br />
legend = FALSE, ylim = c(0, 430), err.width = 0.03)<br />
话说ggplot2中是否有这么方便的函数~~~关键是那个误差线，有这么方便的函数画么？[s:18]
正向ggplot2迁移，但是最烦的就是算标准误，画误差线啥的。。。</p>
谢谢各位哈~~~
