R 从矩阵创建系数图

我试图从矩阵创建一个系数图(https://lrberge.github.io/fixest/reference/coefplot.html).(这是为了显示交互作用项的线性组合，请参见下面的示例代码.文档-见上面的链接-表明这应该是可能的:对象可以是系数表的矩阵.或者，我应该能够提供一个估计向量，加上置信区间信息，以创建coefplot.我没能做到.

我try 了以下几种方法:

##packages and libraries required: 
##fixest
##biostat3

library(biostat3)
library(fixest)

##load example data
data(base_did)
base_inter = base_did

##Run simple regression with interactions
A <- lm(y ~factor(period)*treat, base_inter)

##Create linear combinations
C<-lincom(A,c("treat","treat+factor(period)2:treat","treat+factor(period)3:treat", "treat+factor(period)10:treat"))

##Transform to matrix
T<-as.matrix(C)

##Remove unnecessary information and dimension names
T<-T[,1:3]
dimnames(T) <- NULL

##run coefplot from fixest
fixest::coefplot(T[,1],ci_low=T[,2],ci_high=T[,3])

我收到一个错误:

Error in data.frame(estimate = estimate, ci_low = ci_low, ci_high = ci_high,  : 
  arguments imply differing number of rows: 4, 0

我不明白这一点，因为矩阵T有三列四行，所以维度应该是正确的.

    [,1]       [,2]       [,3]     
[1,] -1.061001  -2.99068   0.8686775
[2,] -0.7100586 -2.639737  1.21962  
[3,] 1.458543   -0.4711357 3.388222 
[4,] 7.90124    5.971561   9.830918