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Issue 1: Parts of the Schröder I government seem to be rather conservative
# size of party in government by lp. CDU in government in lp 14/15 looks wrong.
size("GERMAPARL", s_attribute = c("party", "role", "lp")) %>%
filter(role == "government")
# c'est qui?
corpus("GERMAPARL") %>%
subset(party == "CDU" &
lp %in% c("14","15") &
role == "government") %>%
s_attributes(c("speaker", "date", "role", "party")) %>%
group_by(speaker, party) %>%
summarise(n = n())
Issue 2: parliamentary_group occasionally differs from party
# Verhältnis von Partei zu Fraktion:
size("GERMAPARL", s_attribute = c("party", "parliamentary_group"))
# Example
# Wer ist das Uboot?
corpus("GERMAPARL") %>%
subset(party == "FDP" &
parliamentary_group == "GRUENE") %>%
s_attributes(c("speaker", "date", "role", "party", "parliamentary_group"))
# Gegenprobe. Ist Solms gar ein Grüner? Nur manchmal.
corpus("GERMAPARL") %>%
subset(speaker == "Hermann Otto Solms") %>%
size(c("speaker", "parliamentary_group"))
This is obviously no complete list of all speakers but the issue should be clear.
I'm currently using GERMAPARL version 1.0.6
The text was updated successfully, but these errors were encountered:
I just ran into a couple of false s_attributes, both with party and parliamentary_group.
Issue 1: Parts of the Schröder I government seem to be rather conservative
Issue 2: parliamentary_group occasionally differs from party
This is obviously no complete list of all speakers but the issue should be clear.
I'm currently using GERMAPARL version 1.0.6
The text was updated successfully, but these errors were encountered: