Stargazer 无法识别 tobit，即使它受支持
Stargazer does not recognise tobit even though it is supported
我想让 stargazer 打印一个 AER::tobit 回归（数据在底部）。
require(AER)
require(stargazer)
s1.tobit <- AER::tobit(taxrate ~ votewon + industry + size + urbanisation + vote,
left=12, right=33, data=DF)
stargazer(s1.tobit)
% Error: Unrecognized object type.
根据小插图，这应该没问题：https://cran.r-project.org/web/packages/stargazer/vignettes/stargazer.pdf
任何人都可以帮助我了解发生了什么事吗？
数据
DF <- structure(list(country = c("C", "C", "C", "C", "J", "J", "B",
"B", "F", "F", "E", "E", "D", "D", "F", "F", "I", "I", "J", "J",
"E", "E", "C", "C", "I", "I", "I", "I", "I", "I", "C", "C", "H",
"H", "J", "J", "G", "G", "J", "J", "I", "I", "C", "C", "D", "D",
"A", "A", "G", "G", "E", "E", "J", "J", "G", "G", "I", "I", "I",
"I", "J", "J", "G", "G", "E", "E", "G", "G", "E", "E", "F", "F",
"I", "I", "B", "B", "E", "E", "H", "H", "B", "B", "A", "A", "I",
"I", "I", "I", "F", "F", "E", "E", "I", "I", "J", "J", "D", "D",
"F", "F"), year = c(2005, 2010, 2010, 2005, 2005, 2010, 2010,
2005, 2010, 2005, 2005, 2010, 2010, 2005, 2005, 2010, 2005, 2010,
2005, 2010, 2010, 2005, 2010, 2005, 2005, 2010, 2005, 2010, 2010,
2005, 2010, 2005, 2005, 2010, 2010, 2005, 2005, 2010, 2005, 2010,
2005, 2010, 2005, 2010, 2010, 2005, 2005, 2010, 2010, 2005, 2010,
2005, 2010, 2005, 2010, 2005, 2010, 2005, 2010, 2005, 2010, 2005,
2010, 2005, 2010, 2005, 2010, 2005, 2005, 2010, 2005, 2010, 2005,
2010, 2005, 2010, 2005, 2010, 2005, 2010, 2010, 2005, 2005, 2010,
2005, 2010, 2010, 2005, 2010, 2005, 2010, 2005, 2005, 2010, 2005,
2010, 2010, 2005, 2010, 2005), sales = c(15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9), industry = c("D",
"D", "E", "E", "F", "F", "F", "F", "D", "D", "E", "E", "D", "D",
"E", "E", "F", "F", "F", "F", "D", "D", "F", "F", "E", "E", "D",
"D", "D", "D", "E", "E", "F", "F", "D", "D", "E", "E", "E", "E",
"D", "D", "E", "E", "D", "D", "D", "D", "E", "E", "D", "D", "F",
"F", "D", "D", "D", "D", "E", "E", "D", "D", "E", "E", "D", "D",
"D", "D", "D", "D", "F", "F", "F", "F", "E", "E", "D", "D", "E",
"E", "F", "F", "E", "E", "F", "F", "E", "E", "F", "F", "D", "D",
"D", "D", "D", "D", "D", "D", "F", "F"), urbanisation = c("B",
"B", "A", "A", "B", "B", "A", "A", "C", "C", "C", "C", "A", "A",
"B", "B", "C", "C", "A", "A", "C", "C", "B", "B", "A", "A", "A",
"A", "A", "A", "A", "A", "A", "A", "C", "C", "B", "B", "B", "B",
"B", "B", "C", "C", "A", "A", "B", "B", "B", "B", "A", "A", "B",
"B", "A", "A", "A", "A", "B", "B", "C", "C", "A", "A", "C", "C",
"A", "A", "B", "B", "A", "A", "B", "B", "B", "B", "B", "B", "C",
"C", "A", "A", "A", "A", "A", "A", "A", "A", "C", "C", "A", "A",
"B", "B", "A", "A", "B", "B", "B", "B"), size = c(1, 1, 5, 5,
5, 5, 1, 1, 1, 1, 5, 5, 5, 5, 2, 2, 2, 2, 5, 5, 1, 1, 1, 1, 5,
5, 5, 5, 4, 4, 5, 5, 5, 5, 4, 4, 2, 2, 5, 5, 1, 1, 1, 1, 2, 2,
1, 1, 2, 2, 5, 5, 1, 1, 3, 3, 2, 2, 2, 2, 5, 5, 4, 4, 1, 1, 5,
5, 2, 2, 5, 5, 2, 2, 2, 2, 4, 4, 3, 3, 4, 4, 3, 3, 3, 3, 3, 3,
5, 5, 3, 3, 2, 2, 3, 3, 1, 1, 5, 5), base_rate = c(14L, 14L,
14L, 14L, 19L, 19L, 30L, 30L, 20L, 20L, 29L, 29L, 20L, 20L, 20L,
20L, 24L, 24L, 19L, 19L, 29L, 29L, 14L, 14L, 24L, 24L, 24L, 24L,
24L, 24L, 14L, 14L, 17L, 17L, 19L, 19L, 33L, 33L, 19L, 19L, 24L,
24L, 14L, 14L, 20L, 20L, 23L, 23L, 33L, 33L, 29L, 29L, 19L, 19L,
33L, 33L, 24L, 24L, 24L, 24L, 19L, 19L, 33L, 33L, 29L, 29L, 33L,
33L, 29L, 29L, 20L, 20L, 24L, 24L, 30L, 30L, 29L, 29L, 17L, 17L,
30L, 30L, 23L, 23L, 24L, 24L, 24L, 24L, 20L, 20L, 29L, 29L, 24L,
24L, 19L, 19L, 20L, 20L, 20L, 20L), taxrate = c(12L, 14L, 14L,
12L, 21L, 18L, 30L, 30L, 20L, 20L, 29L, 30L, 20L, 20L, 20L, 20L,
24L, 24L, 21L, 18L, 30L, 29L, 14L, 12L, 24L, 24L, 24L, 24L, 24L,
24L, 14L, 12L, 18L, 19L, 18L, 21L, 33L, 32L, 21L, 18L, 24L, 24L,
12L, 14L, 20L, 20L, 22L, 25L, 32L, 33L, 30L, 29L, 18L, 21L, 32L,
33L, 24L, 24L, 24L, 24L, 18L, 21L, 32L, 33L, 30L, 29L, 32L, 33L,
29L, 30L, 20L, 20L, 24L, 24L, 30L, 30L, 29L, 30L, 18L, 19L, 30L,
30L, 22L, 25L, 24L, 24L, 24L, 24L, 20L, 20L, 30L, 29L, 24L, 24L,
21L, 18L, 20L, 20L, 20L, 20L), vote = c(0, 0, 0, 0, 1, 1, 1,
0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1,
1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1,
1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0,
1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0,
1, 0, 1, 1, 1, 1, 0, 1, 1), votewon = c(0, 0, 0, 0, 1, 0, 1,
0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1,
1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1,
0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0,
1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0,
0, 0, 1, 1, 0, 1, 0, 1, 1)), class = "data.frame", row.names = c(NA,
-100L))
## convert variables to factors beforehand
DF[c(1, 2, 4, 5, 6, 9, 10)] <- lapply(DF[c(1, 2, 4, 5, 6, 9, 10)], factor)
使用 stargazer v5.2.2 和 AER v1.2-9 只有当你把 AER:: 放在 tobit 前面时它才有效，这很奇怪。也许你应该写一个错误报告，虽然我强烈建议使用 texreg 而不是 stargazer。
require(AER)
require(stargazer)
m1.tobit <- AER::tobit(taxrate ~ votewon + industry + size + urbanisation + vote,
left=12, right=33, data=DF)
> stargazer(m1.tobit)
% Error: Unrecognized object type.
m2.tobit <- tobit(taxrate ~ votewon + industry + size + urbanisation + vote,
left=12, right=33, data=DF)
> stargazer(m2.tobit)
% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Sat, Jan 16, 2021 - 20:13:07
\begin{table}[!htbp] \centering
\caption{}
\label{}
\begin{tabular}{@{\extracolsep{5pt}}lc}
\[-1.8ex]\hline
\hline \[-1.8ex]
& \multicolumn{1}{c}{\textit{Dependent variable:}} \
\cline{2-2}
\[-1.8ex] & taxrate \
\hline \[-1.8ex]
votewon & $-.593 \
& (1.558) \
& \
industryE & $-[=10=].787 \
& (1.446) \
& \
industryF & $-.861$^{*}$ \
& (1.515) \
& \
size & $-[=10=].552 \
& (0.447) \
& \
urbanisationB & $-.703 \
& (1.525) \
& \
urbanisationC & $-.097$^{*}$ \
& (1.689) \
& \
vote & 4.176$^{***}$ \
& (1.615) \
& \
Constant & 25.257$^{***}$ \
& (1.934) \
& \
\hline \[-1.8ex]
Observations & 100 \
Log Likelihood & $-9.532 \
Wald Test & 13.061$^{*}$ (df = 7) \
\hline
\hline \[-1.8ex]
\textit{Note:} & \multicolumn{1}{r}{$^{*}$p$<[=10=].1; $^{**}$p$<[=10=].05; $^{***}$p$<[=10=].01} \
\end{tabular}
\end{table}
我想让 stargazer 打印一个 AER::tobit 回归（数据在底部）。
require(AER)
require(stargazer)
s1.tobit <- AER::tobit(taxrate ~ votewon + industry + size + urbanisation + vote,
left=12, right=33, data=DF)
stargazer(s1.tobit)
% Error: Unrecognized object type.
根据小插图，这应该没问题：https://cran.r-project.org/web/packages/stargazer/vignettes/stargazer.pdf
任何人都可以帮助我了解发生了什么事吗？
数据
DF <- structure(list(country = c("C", "C", "C", "C", "J", "J", "B",
"B", "F", "F", "E", "E", "D", "D", "F", "F", "I", "I", "J", "J",
"E", "E", "C", "C", "I", "I", "I", "I", "I", "I", "C", "C", "H",
"H", "J", "J", "G", "G", "J", "J", "I", "I", "C", "C", "D", "D",
"A", "A", "G", "G", "E", "E", "J", "J", "G", "G", "I", "I", "I",
"I", "J", "J", "G", "G", "E", "E", "G", "G", "E", "E", "F", "F",
"I", "I", "B", "B", "E", "E", "H", "H", "B", "B", "A", "A", "I",
"I", "I", "I", "F", "F", "E", "E", "I", "I", "J", "J", "D", "D",
"F", "F"), year = c(2005, 2010, 2010, 2005, 2005, 2010, 2010,
2005, 2010, 2005, 2005, 2010, 2010, 2005, 2005, 2010, 2005, 2010,
2005, 2010, 2010, 2005, 2010, 2005, 2005, 2010, 2005, 2010, 2010,
2005, 2010, 2005, 2005, 2010, 2010, 2005, 2005, 2010, 2005, 2010,
2005, 2010, 2005, 2010, 2010, 2005, 2005, 2010, 2010, 2005, 2010,
2005, 2010, 2005, 2010, 2005, 2010, 2005, 2010, 2005, 2010, 2005,
2010, 2005, 2010, 2005, 2010, 2005, 2005, 2010, 2005, 2010, 2005,
2010, 2005, 2010, 2005, 2010, 2005, 2010, 2010, 2005, 2005, 2010,
2005, 2010, 2010, 2005, 2010, 2005, 2010, 2005, 2005, 2010, 2005,
2010, 2010, 2005, 2010, 2005), sales = c(15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9), industry = c("D",
"D", "E", "E", "F", "F", "F", "F", "D", "D", "E", "E", "D", "D",
"E", "E", "F", "F", "F", "F", "D", "D", "F", "F", "E", "E", "D",
"D", "D", "D", "E", "E", "F", "F", "D", "D", "E", "E", "E", "E",
"D", "D", "E", "E", "D", "D", "D", "D", "E", "E", "D", "D", "F",
"F", "D", "D", "D", "D", "E", "E", "D", "D", "E", "E", "D", "D",
"D", "D", "D", "D", "F", "F", "F", "F", "E", "E", "D", "D", "E",
"E", "F", "F", "E", "E", "F", "F", "E", "E", "F", "F", "D", "D",
"D", "D", "D", "D", "D", "D", "F", "F"), urbanisation = c("B",
"B", "A", "A", "B", "B", "A", "A", "C", "C", "C", "C", "A", "A",
"B", "B", "C", "C", "A", "A", "C", "C", "B", "B", "A", "A", "A",
"A", "A", "A", "A", "A", "A", "A", "C", "C", "B", "B", "B", "B",
"B", "B", "C", "C", "A", "A", "B", "B", "B", "B", "A", "A", "B",
"B", "A", "A", "A", "A", "B", "B", "C", "C", "A", "A", "C", "C",
"A", "A", "B", "B", "A", "A", "B", "B", "B", "B", "B", "B", "C",
"C", "A", "A", "A", "A", "A", "A", "A", "A", "C", "C", "A", "A",
"B", "B", "A", "A", "B", "B", "B", "B"), size = c(1, 1, 5, 5,
5, 5, 1, 1, 1, 1, 5, 5, 5, 5, 2, 2, 2, 2, 5, 5, 1, 1, 1, 1, 5,
5, 5, 5, 4, 4, 5, 5, 5, 5, 4, 4, 2, 2, 5, 5, 1, 1, 1, 1, 2, 2,
1, 1, 2, 2, 5, 5, 1, 1, 3, 3, 2, 2, 2, 2, 5, 5, 4, 4, 1, 1, 5,
5, 2, 2, 5, 5, 2, 2, 2, 2, 4, 4, 3, 3, 4, 4, 3, 3, 3, 3, 3, 3,
5, 5, 3, 3, 2, 2, 3, 3, 1, 1, 5, 5), base_rate = c(14L, 14L,
14L, 14L, 19L, 19L, 30L, 30L, 20L, 20L, 29L, 29L, 20L, 20L, 20L,
20L, 24L, 24L, 19L, 19L, 29L, 29L, 14L, 14L, 24L, 24L, 24L, 24L,
24L, 24L, 14L, 14L, 17L, 17L, 19L, 19L, 33L, 33L, 19L, 19L, 24L,
24L, 14L, 14L, 20L, 20L, 23L, 23L, 33L, 33L, 29L, 29L, 19L, 19L,
33L, 33L, 24L, 24L, 24L, 24L, 19L, 19L, 33L, 33L, 29L, 29L, 33L,
33L, 29L, 29L, 20L, 20L, 24L, 24L, 30L, 30L, 29L, 29L, 17L, 17L,
30L, 30L, 23L, 23L, 24L, 24L, 24L, 24L, 20L, 20L, 29L, 29L, 24L,
24L, 19L, 19L, 20L, 20L, 20L, 20L), taxrate = c(12L, 14L, 14L,
12L, 21L, 18L, 30L, 30L, 20L, 20L, 29L, 30L, 20L, 20L, 20L, 20L,
24L, 24L, 21L, 18L, 30L, 29L, 14L, 12L, 24L, 24L, 24L, 24L, 24L,
24L, 14L, 12L, 18L, 19L, 18L, 21L, 33L, 32L, 21L, 18L, 24L, 24L,
12L, 14L, 20L, 20L, 22L, 25L, 32L, 33L, 30L, 29L, 18L, 21L, 32L,
33L, 24L, 24L, 24L, 24L, 18L, 21L, 32L, 33L, 30L, 29L, 32L, 33L,
29L, 30L, 20L, 20L, 24L, 24L, 30L, 30L, 29L, 30L, 18L, 19L, 30L,
30L, 22L, 25L, 24L, 24L, 24L, 24L, 20L, 20L, 30L, 29L, 24L, 24L,
21L, 18L, 20L, 20L, 20L, 20L), vote = c(0, 0, 0, 0, 1, 1, 1,
0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1,
1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1,
1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0,
1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0,
1, 0, 1, 1, 1, 1, 0, 1, 1), votewon = c(0, 0, 0, 0, 1, 0, 1,
0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1,
1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1,
0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0,
1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0,
0, 0, 1, 1, 0, 1, 0, 1, 1)), class = "data.frame", row.names = c(NA,
-100L))
## convert variables to factors beforehand
DF[c(1, 2, 4, 5, 6, 9, 10)] <- lapply(DF[c(1, 2, 4, 5, 6, 9, 10)], factor)
使用 stargazer v5.2.2 和 AER v1.2-9 只有当你把 AER:: 放在 tobit 前面时它才有效，这很奇怪。也许你应该写一个错误报告，虽然我强烈建议使用 texreg 而不是 stargazer。
require(AER)
require(stargazer)
m1.tobit <- AER::tobit(taxrate ~ votewon + industry + size + urbanisation + vote,
left=12, right=33, data=DF)
> stargazer(m1.tobit)
% Error: Unrecognized object type.
m2.tobit <- tobit(taxrate ~ votewon + industry + size + urbanisation + vote,
left=12, right=33, data=DF)
> stargazer(m2.tobit)
% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Sat, Jan 16, 2021 - 20:13:07
\begin{table}[!htbp] \centering
\caption{}
\label{}
\begin{tabular}{@{\extracolsep{5pt}}lc}
\[-1.8ex]\hline
\hline \[-1.8ex]
& \multicolumn{1}{c}{\textit{Dependent variable:}} \
\cline{2-2}
\[-1.8ex] & taxrate \
\hline \[-1.8ex]
votewon & $-.593 \
& (1.558) \
& \
industryE & $-[=10=].787 \
& (1.446) \
& \
industryF & $-.861$^{*}$ \
& (1.515) \
& \
size & $-[=10=].552 \
& (0.447) \
& \
urbanisationB & $-.703 \
& (1.525) \
& \
urbanisationC & $-.097$^{*}$ \
& (1.689) \
& \
vote & 4.176$^{***}$ \
& (1.615) \
& \
Constant & 25.257$^{***}$ \
& (1.934) \
& \
\hline \[-1.8ex]
Observations & 100 \
Log Likelihood & $-9.532 \
Wald Test & 13.061$^{*}$ (df = 7) \
\hline
\hline \[-1.8ex]
\textit{Note:} & \multicolumn{1}{r}{$^{*}$p$<[=10=].1; $^{**}$p$<[=10=].05; $^{***}$p$<[=10=].01} \
\end{tabular}
\end{table}