Just wanting to understand more:
Do you equate nil in Emacs Lisp with NA in R or do you equate it some other
way?
When I execute my source code block, the NAs show up in the results block as
nil. See example below.
I would prefer a blank in place of nil. Any idea how to do that?
Vikas
--
#+NAME: ccpc-negative-income-cerealstate-in
#+BEGIN_SRC R :results value :colnames yes :hline yes
ccpc[,c(1:5,43,44,45,84,75,76,81,107,10,11,13,12,14:41,46:60,66,67,92,109:114)]-b
subset(b,Year_Agriculture==2009)-b
subset(b,Crop_code %in% c(10,20,40,140,150))-b
(b$Main_Product_Rs+b$By_Product_Rs-b$Cost_A2)-b$Net_income_A2
(b$Main_Product_Rs+b$By_Product_Rs-b$Cost_C2)/b$Crop_Area_Ha-b$Net_income_C2
ifelse(b$Net_income_A20,1,0)-b$loss
b$count-1
b[,c(16:ncol(b))]*b$Cluster_Factor_Weight*b$Zone_factor-b[,c(16:ncol(b))]
melt(b,id=c(Year_Agriculture,State,Crop_code,Crop,Zone_Code,Zone_factor,Area_of_Crop_in_Zone_ha,state_multiplier,Tehsil_Code,Size_Group,Period_of_crop_months,Cluster_Factor_Weight,Parcel_Plot_Season,Ha_Month_in_Ground),m=c(loss,count,Crop_Area_Ha))-a
dcast(a,Year_Agriculture+State+Crop_code+Crop+Zone_Code+state_multiplier+Area_of_Crop_in_Zone_ha~variable,sum)-b
melt(b,id=c(Year_Agriculture,State,Crop_code,Crop,Zone_Code,state_multiplier,Area_of_Crop_in_Zone_ha,Crop_Area_Ha),m=c(loss,count))-a
a$value*a$Area_of_Crop_in_Zone_ha/a$Crop_Area_Ha-a$value
dcast(a,Year_Agriculture+Crop_code+Crop~variable,sum)-b
dcast(a,Year_Agriculture+State+Crop_code+Crop~variable,sum)-b1
b$State-All states
rbind(b,b1)-b
round(b$loss*100/b$count,1)-b$prop
#ggplot(b,aes(x=Year_Agriculture,y=prop,group=State,color=State,linetype=State))-p
#p+geom_line()+scale_y_continuous(Prportion of
farms)+scale_x_continuous(Year,breaks=c(1994,1997,2000,2003,2006,2009),labels=c(1994-95,1997-98,2000-01,2003-04,2006-07,2009-10))+theme_bw()
melt(b,id=c(Year_Agriculture,Crop_code,Crop,State,loss,count))-a
dcast(a,State~Crop_code,mean,drop=T)-t
t[is.na(t)]-NA
names(t)-c(State,Wheat,Paddy,Maize,Bajra,Ragi)
t
#+END_SRC
#+NAME: ccpc-negative-income-cerealstate
#+CAPTION: Proportion of cultivators with negative returns from cultivation of
different crops, by State, 2009-10
#+attr_latex: :environment tabulary :width \textwidth :align lR
#+RESULTS: ccpc-negative-income-cerealstate-in
| State| Wheat | Paddy | Maize | Bajra | Ragi |
|--+---+---+---+---+--|
| All states | 2.7 | 7.4 | 23.2 | 6.1 | 15 |
| Andhra Pradesh | nil | 5.8 | 17.8 | nil | 0|
| Assam| nil | 6.5 | nil | nil | nil |
| Bihar| nil | 4.8 | nil | nil | nil |
| Chhattisgarh | 55.3 | 1.2 | 0 | nil | nil |
| Gujarat | 0 | 0.3 | 15.2 | 6.4 | nil |
| Haryana | 0.1 | 0.2 | nil | 3 | nil |
| Himachal Pradesh | 7.6 | 0.1 | 1.4 | nil | nil |
| Jharkhand| 1.4 | 42.7 | nil | nil | nil |
| Karnataka| nil | 2.2 | 3.2 | 39.9 | 14.9 |
| Kerala | nil | 8.6 | nil | nil | nil |
| Madhya Pradesh | 0 | 0.9 | 16.7 | nil | nil |
| Maharashtra | 6.5 | 37.1 | nil | 15.2 | 18.2 |
| Orissa | nil | 0.6 | nil | nil | nil |
| Punjab | 0.1 | 1.3 | nil | nil | nil |
| Rajasthan| 0 | nil | 24| 0.8 | nil |
| Tamil Nadu | nil | 4.5 | 10.1 | nil | 0.6 |
| Uttar Pradesh| 1.1 | 4.2 | 39.3 | 1 | nil |
| Uttarakhand | 0 | 0 | nil | nil | nil |
| West Bengal | 26.9 | 7.5 | nil | nil | nil |
Vikas
