连接两个数据框并填充空列
Joining two data frames and filling down empty columns
我有两个数据框需要加入并向下填充。
Df1
X Mean sd SE
1 33.61975308 25.97177258 4.998269963
4 37.21666665 23.65853598 4.553087373
9 27.62490196 23.46366812 3.285570716
5 31.655 13.65466442 2.492989239
6 38.38888889 15.00562282 3.536859218
8 34.22333333 18.45231005 3.551148725
20 32.05768194 19.09932561 2.465712333
211 22.94747986 18.46874547 2.326843217
12 19.97051999 18.11757894 2.282600393
3 18.85689296 18.64166165 2.447770094
14 16.18053903 16.16570095 2.03668688
Df2
N mean2 sdsub LCI UCI LCI2 UCI2 LCI3 UCI3
20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
第三个数据框需要加入这些并向下填充DF2
需要 DF3
X Mean sd SE N mean2 sdsub LCI UCI LCI2 UCI2 LCI3 UCI3
1 33.61975308 25.97177258 4.998269963 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
4 37.21666665 23.65853598 4.553087373 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
9 27.62490196 23.46366812 3.285570716 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
5 31.655 13.65466442 2.492989239 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
6 38.38888889 15.00562282 3.536859218 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
8 34.22333333 18.45231005 3.551148725 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
20 32.05768194 19.09932561 2.465712333 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
211 22.94747986 18.46874547 2.326843217 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
12 19.97051999 18.11757894 2.282600393 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
3 18.85689296 18.64166165 2.447770094 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
14 16.18053903 16.16570095 2.03668688 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
我试过 rbind()、join()、bind_rows() 或 rbind_all() 都无济于事。有什么想法吗？
干杯
合并解决方案。我们为 by 参数创建一个始终具有相同值的变量。
df1$i <- "A"
df2$i <- "A"
df3 <- merge(df1,df2,by="i")
df3$i <- NULL
df3
X Mean sd SE N mean2 sdsub LCI UCI LCI2 UCI2 LCI3 UCI3
1 1 33.61975 25.97177 4.998270 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
2 4 37.21667 23.65854 4.553087 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
3 9 27.62490 23.46367 3.285571 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
4 5 31.65500 13.65466 2.492989 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
5 6 38.38889 15.00562 3.536859 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
6 8 34.22333 18.45231 3.551149 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
7 20 32.05768 19.09933 2.465712 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
8 211 22.94748 18.46875 2.326843 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
9 12 19.97052 18.11758 2.282600 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
10 3 18.85689 18.64166 2.447770 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
11 14 16.18054 16.16570 2.036687 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
我有两个数据框需要加入并向下填充。
Df1
X Mean sd SE
1 33.61975308 25.97177258 4.998269963
4 37.21666665 23.65853598 4.553087373
9 27.62490196 23.46366812 3.285570716
5 31.655 13.65466442 2.492989239
6 38.38888889 15.00562282 3.536859218
8 34.22333333 18.45231005 3.551148725
20 32.05768194 19.09932561 2.465712333
211 22.94747986 18.46874547 2.326843217
12 19.97051999 18.11757894 2.282600393
3 18.85689296 18.64166165 2.447770094
14 16.18053903 16.16570095 2.03668688
Df2
N mean2 sdsub LCI UCI LCI2 UCI2 LCI3 UCI3
20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
第三个数据框需要加入这些并向下填充DF2
需要 DF3
X Mean sd SE N mean2 sdsub LCI UCI LCI2 UCI2 LCI3 UCI3
1 33.61975308 25.97177258 4.998269963 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
4 37.21666665 23.65853598 4.553087373 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
9 27.62490196 23.46366812 3.285570716 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
5 31.655 13.65466442 2.492989239 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
6 38.38888889 15.00562282 3.536859218 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
8 34.22333333 18.45231005 3.551148725 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
20 32.05768194 19.09932561 2.465712333 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
211 22.94747986 18.46874547 2.326843217 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
12 19.97051999 18.11757894 2.282600393 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
3 18.85689296 18.64166165 2.447770094 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
14 16.18053903 16.16570095 2.03668688 20 32.53997604 20.63952369 29.91928986 35.16066221 30.38002506 34.69992702 30.75555216 34.32439992
我试过 rbind()、join()、bind_rows() 或 rbind_all() 都无济于事。有什么想法吗？
干杯
合并解决方案。我们为 by 参数创建一个始终具有相同值的变量。
df1$i <- "A"
df2$i <- "A"
df3 <- merge(df1,df2,by="i")
df3$i <- NULL
df3
X Mean sd SE N mean2 sdsub LCI UCI LCI2 UCI2 LCI3 UCI3
1 1 33.61975 25.97177 4.998270 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
2 4 37.21667 23.65854 4.553087 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
3 9 27.62490 23.46367 3.285571 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
4 5 31.65500 13.65466 2.492989 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
5 6 38.38889 15.00562 3.536859 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
6 8 34.22333 18.45231 3.551149 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
7 20 32.05768 19.09933 2.465712 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
8 211 22.94748 18.46875 2.326843 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
9 12 19.97052 18.11758 2.282600 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
10 3 18.85689 18.64166 2.447770 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244
11 14 16.18054 16.16570 2.036687 20 32.53998 20.63952 29.91929 35.16066 30.38003 34.69993 30.75555 34.3244