A Title Page – A figure
A Title Page
Where will this go?
Ugly table
pander(sumtab,style='rmarkdown')id year y_it lnmY_it l_it k_it m_it industry_2 t Min. 38 1980 13.69 -4.452 2.89 12.38 11.86 12 1980 1st Qu. 1309 1988 16.17 -0.9344 5.866 14.91 15.33 12 1988 Median 2423 1995 16.93 -0.6422 6.54 15.77 16.16 12 1995 Mean 7149 1994 17.09 -0.7779 6.645 15.92 16.31 12 1994 3rd Qu. 4139 2001 17.86 -0.4652 7.239 16.65 17.12 12 2001 Max. 46340 2008 21.32 -0.09113 10.77 20.34 20.9 12 2008
knitr::kable(sumtab)id year y_it lnmY_it l_it k_it m_it industry_2 t Min. 38 1980 13.69 -4.45200 2.890 12.38 11.86 12 1980 1st Qu. 1309 1988 16.17 -0.93440 5.866 14.91 15.33 12 1988 Median 2423 1995 16.93 -0.64220 6.540 15.77 16.16 12 1995 Mean 7149 1994 17.09 -0.77790 6.645 15.92 16.31 12 1994 3rd Qu. 4139 2001 17.86 -0.46520 7.239 16.65 17.12 12 2001 Max. 46340 2008 21.32 -0.09113 10.770 20.34 20.90 12 2008
Some equations
- here is a bullet point
- here is an inline equation y_{it}yit is log output
y_{it} = f(l_{it},k_{it}) + m_t^{*-1}(l_{it},k_{it},m_{it}) + \epsilon_{it}
yit=f(lit,kit)+m∗−1t(lit,kit,mit)+ϵit
- In the second step, we estimate ff by nonlinear least squares \min_{f,h} \sum \left[y_{it} - f(l_{it},k_{it}) - h\left(\hat{\Phi}_t(l_{it},k_{it-1},m_{it-1}) - f(l_{it-1},k_{it-1}) \right) \right]^2
- bla
- little bla
- little bla
A figure
library(ggplot2) ggplot(data=ind12, aes(x=y_it)) + geom_histogram()
## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
## Warning: position_stack requires constant width: output may be incorrect
This slide is below the previous one?
- a really long slide
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The end.
\frac{\underline{\Xi}}{\overline{\Xi}}
Lower still
To the right againt
below
right
A webgl plot
library(rgl) x <- sort(rnorm(1000)) y <- rnorm(1000) z <- rnorm(1000) + atan2(x,y) plot3d(x, y, z, col=rainbow(1000))
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Another webgl plot
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An interactive chart