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I'm preparing data for a network meta-analysis and I am having difficult in tyding the columns.
If I have this initial dataset:
Study Trt y sd n
1 1 -1.22 3.70 54
1 3 -1.53 4.28 95
2 1 -0.30 4.40 76
2 2 -2.60 4.30 71
2 4 -1.2 4.3 81
How can I finish with this other one?
Study Treatment1 y1 sd1 n1 Treatment2 y2 sd2 n2 Treatment3 y3 sd3 n3
1 1 1 -1.22 3.70 54 3 -1.53 4.28 95 NA NA NA NA
2 3 1 -0.30 4.40 76 2 -2.60 4.30 71 4 -1.2 4.3 81
I'm really stuck in this step, and I'd really appreciate some help...
903
To use spread() , pass it the name of a data frame, then the name of the key column in the data frame, and then the name of the value column. Pass the column names as they are; do not use quotes. To tidy table2 , you would pass spread() the key column and then the value column.
The spread() function from the tidyr library can be helpful to spread a key-value pair across different columns. This function also helps reshape the data from long format to wide format. This function works exactly opposite of gather(). So, it is used contrarily.
We can gather to 'long' format, then unite multiple columns to single and spread it to wide
library(tidyverse)
gather(df1, Var, Val, Trt:n) %>%
group_by(Study, Var) %>%
mutate(n = row_number()) %>%
unite(VarT, Var, n, sep="") %>%
spread(VarT, Val, fill=0)
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