Example: Applying t() Function in R If we want to transpose our data frame, we can use the t function provided by the basic installation of the R programming language. Have a look at the following R code and the produced output:
Transpose a data frame in R语言 转置 # first remember the namesn<-df.aree$name# transpose all but the first column (name)df.aree<-as.data.frame(t(df.aree[,-1]))colnames(df.aree)<-n df.aree$myfactor<-factor(row.names(df.aree))str(df.aree)# Check the column typesREF:https...
y <- x |> map(safely(log))# wasy |>transpose() |> str()#> List of 2#> $ result:List of 3#> ..$ : NULL#> ..$ : num 0#> ..$ : num 0.693#> $ error :List of 3#> ..$ :List of 2#> .. ..$ message: chr "non-numeric argument to mathematical function"#> .. ....
# transpose all but the first column (name) df.aree <- as.data.frame(t(df.aree[,-1])) colnames(df.aree) <- n df.aree$myfactor <- factor(row.names(df.aree)) str(df.aree) # Check the column types REF: https://stackoverflow.com/questions/6778908/transpose-a-data-frame 1....
The TRANSPOSE function directly converts Columns to Rows and vice-versa. The syntax of the TRANSPOSE function is TRANSPOSE (array) Step 1: Use the below formula in any adjacent cell (i.e., G4) to convert columns to rows. =TRANSPOSE(B4:E12) B4:E12 is the array argument. Step 2: Pres...
for i in range(len(matrix[0])): transposed_row = [] for row in matrix: transposed_row.append(row[i]) transposed.append(transposed_row) return transposed 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16.
Since R2020b collapse all in page Syntax Y = pagetranspose(X) Description Y = pagetranspose(X)applies the nonconjugate transpose to each page of N-D arrayX. Each page of the outputY(:,:,i)is found by transposing the corresponding page inX, as inX(:,:,i).'. ...
R Transpose Matrix Example t(x) function will transpose a matrix or data frame. If it is a vector, it will be transposed to a one row matrix. Following is a csv file example transpose.csv. >x <- read.csv("transpose.csv",header=T,sep=",",dec="."); >x <- t(x)...
In this paper, we explore the possibility of realization of block FIR filter in transpose form configuration for area-delay efficient realization of large order FIR filters for both fixed and reconfigurable applications. Based on a detailed computational analysis of transpose form configuration of FIR ...
tf.nn.conv2d(input, filter, strides, padding, use_cudnn_on_gpu=None, data_format=None, name=None) Type: function Docstring: Computes a 2-D convolution given 4-D input and filter tensors. Given an inpu...tf.nn.conv2d() tf.nn.conv2d() 函数原型: 参数: input:张量tensor,每个元素的...