If you want to replace the entire column with another column use the below approach in the R data frame. You can also achieve this in the best approach by just renaming the column name and dropping the unwanted column. The below example replaces the values from thework_addresscolumn to the...
library(tibble) library(dplyr) #对exp进行处理生成dat dat = t(exp) %>% #转置exp的行和列 as.data.frame() %>% rownames_to_column() %>% #把行名变成单独一列 mutate(group = rep(c("control","treat"),each = 3))#新增一列group pdat = dat%>% #pivot_longer属于tidyr包,将宽变长 p...
read_xlsx尝试通过检查前guess_max行来猜测列类型，guess_max是默认值为min(1000, n_max)的read_xlsx...
# Determine the dependent (target) attribute dependent_variable_name <- "Exited" print(dependent_variable_name) # Obtain the distinct values for each column exprs = lapply(names(df_clean), function(x) alias(countDistinct(df_clean[[x]]), x)) # Use do.call to splice the aggregation express...
dplyr 0.8.3 https://cran.r-project.org/web/packages/dplyr/index.html DPpackage 1.1-7.4 https://cran.r-project.org/web/packages/DPpackage/index.html DRR 0.0.3 https://cran.r-project.org/web/packages/DRR/index.html dse 2015.12-1 https://cran.r-project.org/web/packages/dse/index.html...
Keep in mind that many variables can be estimated in different ways (e.g. trophic level), and thus may report different values in different tables. Also note that species is name (or SpecCode) is not always the primary key for a table – many tables are specific to stocks or even ...
Let’s take a look at how to change dataframe column names in R. For our first example of how to change column names in r, we’re going to use the the ChickWeight data frame and replacevalues within an existing dataframecolumn. We want to make it easier to understand by changing column...
series <- dataframe1$width # Find the maximum and minimum values of the width column in dataframe1 max_v <- max(series) min_v <- min(series) # Calculate the scale and bias scale <- max_v - min_v bias <- min_v / dis # Apply min-max normalizing dataframe1$width <- datafram...
biocLite("dplyr") ; library(dplyr) biocLite("gage") ; library(gage) biocLite("ggsci") ; library(ggsci) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 7.2. 导入表达矩阵 开始导入文件夹中的featureCounts表。本教程将使用DESeq2对样本组之间进行归一化和执行统...
Step 3)Replace the NA Values The verb mutate from the dplyr library is useful in creating a new variable. We don’t necessarily want to change the original column so we can create a new variable without the NA. mutate is easy to use, we just choose a variable name and define how to...