Question: How to use tidyr package to average replicate data for different time points and plot each gene separately?

1

Wox •

**370**wrote:I have a data set of >100 different samples. Samples are from different genotypes (e.g. X, Y, Z) and 4 different time points (T0,1,2,3) with 3 biological replicates (R1,2,3). I'm measuring values for 50 different genes (in raws).

For each gene (i.e. each column), I want to plot a graph with an average of replicates of each genotype + SE I would like to do this by creating a new data frame; containing for each set of replicates the mean and Std Error. How is this possible using tidyr package? How can I include Std Error? How can I improve this coding?

```
data.mean<- data.frame(matrix(nrows=50)) for(col in seq(1,length(colnames(data)), by=3)) {data.mean <-cbind(data.mean,apply(subset(data, select=seq(col,length.out = 3)),1,mean, na.rm = TRUE)) colnames(data.mean)[ncol(data.mean)] <- colnames(data)[col]}
```

```
structure(list(Gene = structure(1:2, .Label = c("A", "B"), class = "factor"),
X_T0_R1 = c(1.46559502, 0.220140568), X_T0_R2 = c(1.087642983,
0.237500819), X_T0_R3 = c(1.424945196, 0.21066267), X_T1_R1 = c(1.289943948,
0.207778662), X_T1_R2 = c(1.376535013, 0.488774258), X_T1_R3 = c(1.833390311,
0.182798731), X_T2_R1 = c(1.450753714, 0.247576125), X_T2_R2 = c(1.3094609,
0.390028842), X_T2_R3 = c(0.5953716, 1.007079177), X_T3_R1 = c(0.7906009,
0.730242116), X_T3_R2 = c(1.215333041, 1.012914813), X_T3_R3 = c(1.069312467,
0.780421013), Y_T0_R1 = c(0.053317766, 3.316414959), Y_T0_R2 = c(0.506623748,
3.599442788), Y_T0_R3 = c(0.713670106, 2.516735845), Y_T1_R1 = c(0.740998252,
1.444496448), Y_T1_R2 = c(0.648231834, 0.097957459), Y_T1_R3 = c(0.780499252,
0.187840968), Y_T2_R1 = c(0.35344654, 1.190274584), Y_T2_R2 = c(0.220223951,
1.367784148), Y_T2_R3 = c(0.432856978, 1.403057729), Y_T3_R1 = c(0.234963735,
1.232129062), Y_T3_R2 = c(0.353770497, 0.885122768), Y_T3_R3 = c(0.396091395,
1.333921747), Z_T0_R1 = c(0.398000559, 1.286528398), Z_T0_R2 = c(0.384759325,
1.122251177), Z_T0_R3 = c(1.582230097, 0.697419716), Z_T1_R1 = c(1.136843842,
0.804552001), Z_T1_R2 = c(1.275683837, 1.227821594), Z_T1_R3 = c(0.963349308,
0.968589683), Z_T2_R1 = c(3.765036263, 0.477443352), Z_T2_R2 = c(1.901023385,
0.832736132), Z_T2_R3 = c(1.407713024, 0.911920317), Z_T3_R1 = c(0.988333629,
1.095130142), Z_T3_R2 = c(0.618606729, 0.497458337), Z_T3_R3 = c(0.429823986,
0.471389536)), .Names = c("Gene", "X_T0_R1", "X_T0_R2", "X_T0_R3",
"X_T1_R1", "X_T1_R2", "X_T1_R3", "X_T2_R1", "X_T2_R2", "X_T2_R3",
"X_T3_R1", "X_T3_R2", "X_T3_R3", "Y_T0_R1", "Y_T0_R2", "Y_T0_R3",
"Y_T1_R1", "Y_T1_R2", "Y_T1_R3", "Y_T2_R1", "Y_T2_R2", "Y_T2_R3",
"Y_T3_R1", "Y_T3_R2", "Y_T3_R3", "Z_T0_R1", "Z_T0_R2", "Z_T0_R3",
"Z_T1_R1", "Z_T1_R2", "Z_T1_R3", "Z_T2_R1", "Z_T2_R2", "Z_T2_R3",
"Z_T3_R1", "Z_T3_R2", "Z_T3_R3"), class = "data.frame", row.names = c(NA,
-2L))
```

14kcould you provide us with a minimal reproducible dataset using

`dput`

function in R (just copy paste the results of`dput(df)`

here ;`df`

is your dataframe)9.2kHi Nicolas, if you don't mind, I've emailed sample data file for you. You can use it public.

370BIOAWY : Please post a sample of the data here. We encourage all communication to stay on the forum. I suggest that you edit the original post and add the data there.

92k@genomax My apologies, I'm not aware how to enter this data here! Can I attach CSV file.

370You don't need to attach the full file. Can you use the command @Nicolas gave (

`dput(df)`

) and post the results here?92kI'm sorry I could not do this :( error comes, I'm happy to give sample data file, if it possible attached

370Oh well. Hopefully you emailed the file to right @Nicolas. He can post the data excerpt when he posts a solution.

92kI've tried, hope that will help

370