1. Insert a
Operates in accordance with the data set comes beaver, such as inserting an id.
> colnames(beaver1) [1] "day" "time" "temp" "activ" > nrow(beaver1) [1] 114
method 1:
new_beaver1$id = rep(1,114)
Method 2
new_beaver1 = data.frame(id = rep(1,114),beaver1)
Method 3
x = data.frame( id = rep(1,114) ) new_beaver1 = cbind(beaver1,x)
2. Insert a row
new_beaver1 = beaver1 x=c(348,350,98.15,0,1) rbind(beaver1,x)
First clear beaver1 entire data frame is output, beaver1 [row range, the range column] to print out the data block specified range.
3. The extracted data in accordance with the conditions
beavear1 [OK condition, the condition column]
4. Delete data box data
Processing rules to delete the row or column is not given then to display a new data frame.
beaver1 [row, column]
For example beaver1 [- c (1: 5), 1: 2] to not print the first print line 5 and only 1 to 2.
5. A Problem:
beaver1 beaver2 and temperature data set contains two data beaver. Id add a column named as beaver1 data set, which values are all 1. Similarly, to add a column for the id beaver2, the full value of 2. Splicing two vertical frame data, and find all active in a subset of the beaver.
> new_beaver1 = data.frame(id = rep(1,114),beaver1)
> new_beaver2 = data.frame(id = rep(2,100),beaver2)
> new_beaver=rbind(new_beaver1,new_beaver2)
> new_beaver[new_beaver$activ==1,]
id day time temp activ
54 1 346 1730 37.07 1
68 1 346 1950 37.10 1
80 1 346 2150 37.53 1
83 1 346 2230 37.25 1
86 1 346 2300 37.24 1
114 1 347 340 37.15 1
153 2 307 1550 37.98 1
154 2 307 1600 38.02 1
155 2 307 1610 38.00 1
156 2 307 1620 38.24 1
157 2 307 1630 38.10 1
158 2 307 1640 38.24 1
159 2 307 1650 38.11 1
160 2 307 1700 38.02 1
161 2 307 1710 38.11 1
162 2 307 1720 38.01 1
163 2 307 1730 37.91 1
164 2 307 1740 37.96 1
165 2 307 1750 38.03 1
166 2 307 1800 38.17 1
167 2 307 1810 38.19 1
168 2 307 1820 38.18 1
169 2 307 1830 38.15 1
170 2 307 1840 38.04 1
171 2 307 1850 37.96 1
172 2 307 1900 37.84 1
173 2 307 1910 37.83 1
174 2 307 1920 37.84 1
175 2 307 1930 37.74 1
176 2 307 1940 37.76 1
177 2 307 1950 37.76 1
178 2 307 2000 37.64 1
179 2 307 2010 37.63 1
180 2 307 2020 38.06 1
181 2 307 2030 38.19 1
182 2 307 2040 38.35 1
183 2 307 2050 38.25 1
184 2 307 2100 37.86 1
185 2 307 2110 37.95 1
186 2 307 2120 37.95 1
187 2 307 2130 37.76 1
188 2 307 2140 37.60 1
189 2 307 2150 37.89 1
190 2 307 2200 37.86 1
191 2 307 2210 37.71 1
192 2 307 2220 37.78 1
193 2 307 2230 37.82 1
194 2 307 2240 37.76 1
195 2 307 2250 37.81 1
196 2 307 2300 37.84 1
197 2 307 2310 38.01 1
198 2 307 2320 38.10 1
199 2 307 2330 38.15 1
200 2 307 2340 37.92 1
201 2 307 2350 37.64 1
202 2 308 0 37.70 1
203 2 308 10 37.46 1
204 2 308 20 37.41 1
205 2 308 30 37.46 1
206 2 308 40 37.56 1
207 2 308 50 37.55 1
208 2 308 100 37.75 1
209 2 308 110 37.76 1
210 2 308 120 37.73 1
211 2 308 130 37.77 1
212 2 308 140 38.01 1
213 2 308 150 38.04 1
214 2 308 200 38.07 1