[R] Subsetting year range

[fuckecon]

Hi,

I have a panel data set that I am trying to subset. I am trying to keep
values for years >=1960.
The full set is from 1940 to 2000. 

I tried a few things, but none worked. Here are a couple that I am trying to
use.

TableAPS1 <- subset(TableAP, year => 1959)

TableAPS1 <- TableAP[ which(year > 1959),]


It would be really nice if someone can point out what I am doing wrong with
this part, or somewhere else that I am coding wrong.

Thanks,


Full code:

###########
TableAP <- read.csv("AnnualPanel.csv")
TableAP <- data.frame(TableAP)
TableAP
nrow (TableAP)

install.packages("zoo")
require(zoo)

Lagpolity4AP1 <- lag(zoo(TableAP$polity4), -1)
Lagpolity4AP2 <- lag(zoo(TableAP$polity4), -2)
Lagpolity4AP3 <- lag(zoo(TableAP$polity4), -3)
Lagpolity4AP4 <- lag(zoo(TableAP$polity4), -4)
Lagpolity4AP5 <- lag(zoo(TableAP$polity4), -5)
LaglrgdpchAP1 <- lag(zoo(TableAP$lrgdpch), -1)
LaglrgdpchAP2 <- lag(zoo(TableAP$lrgdpch), -2)
LaglrgdpchAP3 <- lag(zoo(TableAP$lrgdpch), -3)
LaglrgdpchAP4 <- lag(zoo(TableAP$lrgdpch), -4)
LaglrgdpchAP5 <- lag(zoo(TableAP$lrgdpch), -5)

TableAP <- cbind(zoo(TableAP), Lagpolity4AP1, Lagpolity4AP2, Lagpolity4AP3,
Lagpolity4AP4, Lagpolity4AP5,
LaglrgdpchAP1, LaglrgdpchAP2, LaglrgdpchAP3, LaglrgdpchAP4, LaglrgdpchAP5)
TableAP <- data.frame(TableAP)

TableAP <- subset(TableAP, select = c(code, country, year, polity4,
Lagpolity4AP1, Lagpolity4AP2, Lagpolity4AP3,
Lagpolity4AP4, Lagpolity4AP5, lrgdpch, LaglrgdpchAP1, LaglrgdpchAP2,
LaglrgdpchAP3, LaglrgdpchAP4, LaglrgdpchAP5))

fix(TableAP)

# Using data from 1960 to 2000 only

################################################################
################################################################
TableAPS1 <- TableAP[ which(year > 1959),]
################################################################
################################################################

# Keeping only rows with Sample = 1
TableAP <- subset(TableAP, sample == 1)

TableAPS1 <- subset(TableAPS1, select = c(code, country, year, polity4,
Lagpolity4, lrgdpch, Laglrgdpch))

TableAPS1<- ts(TableAPS1)

# Run FE OLS with lag real GDP and lag democracy
# -1 is to subtract the intercept

library(dyn)

FEOLS <- dyn$lm(polity4 ~ -1 + Lagpolity4 + Laglrgdpch + factor(year)+
factor(code), TableAPS1)
FEOLS




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