以下是代码：plot10 <- ggplot(subjectivedata1_1, aes(x = factor(number), y=standardscore, fill=sex)) +geom_boxplot()+scale_fill_discrete(name="sex")+labs(x="item number",y="standard score")+scale_color_discrete(name="sex")> plot10> plot10 <- plot10+stat_boxplot(geom = "errorbar",width = 0.1)> plot10尝试过调换geom_boxplot和stat_boxplot的位置，但是还是不行，依然很丑.......大神救命,作业......医学生,不是很会r在努力了

报错如图 有人知道怎么回事吗

R语言中a[-1]是什么意思？R语言数组中位置下标前面加负号原来跟python等不一样啊，我没找到到底是什么意思，求大神解答呀！

ORG 0000h MOV A,#00h MOV R3,#00h MOV R2,#64h MOV R1,#00h LOOP: MOV A,R1 ADD A,R2 MOV R1,A RLC A ANL A,#01h ;0000 0001 MOV R3,A MOV A,R0 ADD A,R3 MOV R0,A DJNZ R2,LOOP RET END

文件已经更改了格式为csv，可就是导不进去，求大佬解答

如图，代码也没错误，把help里的例子粘过来都不行

panel.cor <- function(x, y, digits = 2, prefix = "", cex.cor, ...) { tmp <- data.frame(x,y) tmp$flgx <- 0 tmp$flgx[is.na(tmp$x)] <- 1 tmp$flgy <- 0 tmp$flgy[is.na(tmp$y)] <- 1 tmp <- tmp[tmp$flgx==0&tmp$flgy==0,] x <- tmp$x y <- tmp$y usr <- par("usr"); on.exit(par(usr)) par(usr = c(0, 1, 0, 1)) r <- cor(x, y) txt <- format(c(r, 0.123456789), digits = digits)[1] txt <- paste0(prefix, txt) if(missing(cex.cor)) cex.cor <- 0.8/strwidth(txt) # text(0.5, 0.5, txt, cex = cex.cor * r) text(0.5, 0.5, txt, cex = 1) } panel.hist <- function(x, ...) { usr <- par("usr"); on.exit(par(usr)) par(usr = c(usr[1:2], 0, 1.5) ) h <- hist(x, plot = FALSE) breaks <- h$breaks; nB <- length(breaks) y <- h$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col = "lightblue", ...) }

之前打代码输入HEX值就会在文字背景有相应颜色，不知道怎么突然没有了，求助~

dat$mean_diff <- dat$m2 - dat$m1 dat$sd_pooled <- sqrt(((dat$n1 - 1) * dat$s1^2 + (dat$n2 - 1) * dat$s2^2)/(dat$n1 + dat$n2 - 2)) dat$smd <- dat$mean_diff / dat$sd_pooled dat$se <- sqrt((1/dat$n1 + 1/dat$n2) * (1 + dat$sd_pooled^2/(2*dat$n1) + dat$sd_pooled^2/(2*dat$n2))) library(meta) meta_obj <- metagen(TE= dat$smd, seTE = dat$se, studlab = dat$Gait_speed, data = dat, comb.random = TRUE, comb.fixed = FALSE,hakn = FALSE)forest(meta_obj,sortvar =TE, comb.fixed = FALSE,print.tau2 = TRUE,leftlabs = c("Author", "TE", "seTE"),rightlabs=c("SMD","95%-CI","Weight"),xlab = "decrease increase",ylab="Standardized mean difference")