Example 2: Replace Multiple Values in Particular Columns of Data FrameExample 2 explains how to replace values only in specific columns of a data frame.For this, we first have to specify the columns we want to change:col_repl <- c("x2", "x3") # Specify columns col_repl # Print ...
1、# 删除数据框中的gender列 df_deleted_column <- df[, -3] 2、# 使用subset函数根据条件删除列(删除age列) df_deleted_age_column <- subset(df, select = -c(age)) 或者直接df_deleted_age_column <- subset(df, select = -age) 3、data2[data2$birthdt<-NULL] ##将某一列赋值为NULL即可...
adjust_pvalue(): add an adjusted p-values column to a data frame containing statistical test p-values add_significance(): add a column containing the p-value significance level 其他 doo(): alternative to dplyr::do for doing anything. Technically it uses nest() + mutate() + map() to ap...
vec2[!(vec2)] # return non missing values from vec2 返回非缺失值 1. 2. 3. 4. 抽样 sample(x, size, replace = FALSE, prob = NULL) set.seed(100) # optional. set it to get same random samples. 设置随机数 sample(vec1) # sample all elements randomly 把所有元素打乱顺序 sample(vec...
Importing of data（数据导入）Column names cleaned or changed（列名的清洗转换）De-duplication（去重）Column creation and transformation (e.g. re-coding or standardising values)（生成新变量）Rows filtered or added（数据选择）本文就带着大家一步一步走一遍，中间会详细说明一些核心函数的用法，希望对大家有...
data.frame() %>% ### 转换 rownames_to_column() %>% ### 行名变成一列 mutate(group = rep(c("control","treat"),each = 3)) ###给数据生成一个分组,前三个是"control",后三个是"treat" ### 宽变长代码 pdat = dat%>% pivot_longer(cols = starts_with("gene"), ### 把gene1、...
str_replace_all(x2,"o|e","A") # 竖线 代表着或者 6.字符删除 str_remove(x," ") str_remove_all(x," ") 玩转数据框 arrange,数据框按照某一列排序 sort是给向量排序的 library(dplyr) arrange(test, Sepal.Length) #默认根据这一列从小到大给整个数据框排序 ...
这一周R语言学习,记录如下。 01 添加文本标签信息 可视化时,通过文本标签对图形做标注,让图形更有效表达信息。以ggplot2包的条形图为例,使用geom_text()函数给条形图添加文本标签。 library(ggplot2) set.seed(123) data <- data.frame(x = sample(LETTERS[1:6], 300, replace = TRUE)) head(data) dim...
adjust_pvalue(): add an adjusted p-values column to a data frame containing statistical test p-values add_significance(): add a column containing the p-value significance level p_round(),p_format(),p_mark_significant(): rounding and formatting p-values ...
#p-values column to appear first; then FDR and then others resTable <- resTable[,c(ncol(resTable),1:(ncol(resTable)-1))]; resTable <- resTable[,c(ncol(resTable),1:(ncol(resTable)-1))]; write.csv(resTable,"cs.csv")