{"id":456,"date":"2023-07-29T20:32:53","date_gmt":"2023-07-29T20:32:53","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%af%e1%80%b6%e1%80%99%e1%80%be%e1%80%94%e1%80%ba%e1%80%96%e1%80%bc%e1%80%94%e1%80%b7%e1%80%ba%e1%80%81%e1%80%bb%e1%80%ae%e1%80%9b%e1%80%b1%e1%80%b8-r-%e1%80%80%e1%80%ad%e1%80%af\/"},"modified":"2023-07-29T20:32:53","modified_gmt":"2023-07-29T20:32:53","slug":"%e1%80%95%e1%80%af%e1%80%b6%e1%80%99%e1%80%be%e1%80%94%e1%80%ba%e1%80%96%e1%80%bc%e1%80%94%e1%80%b7%e1%80%ba%e1%80%81%e1%80%bb%e1%80%ae%e1%80%9b%e1%80%b1%e1%80%b8-r-%e1%80%80%e1%80%ad%e1%80%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%af%e1%80%b6%e1%80%99%e1%80%be%e1%80%94%e1%80%ba%e1%80%96%e1%80%bc%e1%80%94%e1%80%b7%e1%80%ba%e1%80%81%e1%80%bb%e1%80%ae%e1%80%9b%e1%80%b1%e1%80%b8-r-%e1%80%80%e1%80%ad%e1%80%af\/","title":{"rendered":"R \u1010\u103d\u1004\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u1016\u103c\u1030\u1038\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

\n

R \u1010\u103d\u1004\u103a \u101e\u102c\u1019\u102c\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u101d\u1031\u1019\u103e\u102f<\/a> \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1005\u102e\u1005\u1009\u103a\u101b\u1014\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1001\u103c\u1031\u1001\u1036 R \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a ggplot2 \u1000\u1032\u1037\u101e\u102d\u102f\u1037 \u1015\u102d\u102f\u1019\u102d\u102f\u1001\u1031\u1010\u103a\u1019\u102e\u101e\u1031\u102c \u1021\u1011\u102f\u1015\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

BaseR \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u103c\u1004\u103a\u1038\u104b<\/span><\/strong><\/h2>\n

\u1024\u101e\u100a\u103a\u1019\u103e\u102c Base R \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u101d\u1031\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1001\u103c\u1004\u103a\u1038\u104f \u1025\u1015\u1019\u102c \u101e\u102f\u1036\u1038\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1025\u1015\u1019\u102c 1- \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e = 0 \u1014\u103e\u1004\u1037\u103a \u1005\u1036\u101e\u103d\u1031\u1016\u100a\u103a\u1019\u103e\u102f = 1 \u1016\u103c\u1004\u1037\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u1016\u103c\u1030\u1038\u101e\u100a\u103a\u104b<\/strong><\/span><\/h3>\n

\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e = 0 \u1014\u103e\u1004\u1037\u103a \u1005\u1036\u101e\u103d\u1031\u1016\u100a\u103a\u1019\u103e\u102f = 1 \u1016\u103c\u1004\u1037\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u1016\u103c\u1030\u1038\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n

 #Create a sequence of 100 equally spaced numbers between -4 and 4<\/span>\nx <- seq(-4, 4, length=100)\n\n#create a vector of values that shows the height of the probability distribution<\/span>\n#for each value in x<\/span>\ny <- dnorm(x)\n\n#plot x and y as a scatterplot with connected lines (type = \"l\") and add<\/span>\n#an x-axis with custom labels<\/span>\nplot(x,y, type = \"l\", lwd = 2, axes = FALSE, xlab = \"\", ylab = \"\")\naxis(1, at = -3:3, labels = c(\"-3s\", \"-2s\", \"-1s\", \"mean\", \"1s\", \"2s\", \"3s\"))<\/strong><\/pre>\n
 \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u1015\u1031\u1038\u101e\u100a\u103a-<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 2- \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e = 0 \u1014\u103e\u1004\u1037\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u101e\u103d\u1031\u1016\u100a\u103a\u1019\u103e\u102f = 1 (\u1000\u102f\u1012\u103a\u1014\u100a\u103a\u1038)<\/strong><\/span><\/h3>\n
 x<\/em> \u1014\u103e\u1004\u1037\u103a y<\/em> \u1000\u102d\u102f\u1019\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1018\u1032 \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u101d\u1031\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f\u101c\u100a\u103a\u1038 \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u102d\u102f\u1004\u103a\u1015\u103c\u102e\u1038\u104a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d “ \u1019\u103b\u1009\u103a\u1038\u1000\u103d\u1031\u1038”  \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u101b\u102d\u102f\u1038\u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101b\u103e\u1004\u103a\u1038 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 curve(dnorm, -3.5, 3.5, lwd=2, axes = FALSE, xlab = \"\", ylab = \"\")\naxis(1, at = -3:3, labels = c(\"-3s\", \"-2s\", \"-1s\", \"mean\", \"1s\", \"2s\", \"3s\"))<\/strong><\/pre>\n
 \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1021\u1010\u102d\u1021\u1000\u103b\u1010\u1030\u100a\u102e\u101e\u1031\u102c \u1007\u102c\u1010\u103a\u1000\u103d\u1000\u103a\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u1015\u1031\u1038\u101e\u100a\u103a-<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 3- Custom Mean \u1014\u103e\u1004\u1037\u103a Standard Deviation \u1016\u103c\u1004\u1037\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u101d\u1031\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h3>\n
 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u1030\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1011\u102c\u1038\u101e\u1031\u102c \u1006\u102d\u102f\u101c\u102d\u102f\u101b\u1004\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1005\u1036\u101e\u103d\u1031\u1016\u100a\u103a\u1019\u103e\u102f\u1016\u103c\u1004\u1037\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u101d\u1031\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 #define population mean and standard deviation<\/span>\npopulation_mean <- 50\npopulation_sd <- 5\n\n#define upper and lower bound\n<\/span>lower_bound <- population_mean - population_sd\nupper_bound <- population_mean + population_sd\n\n#Create a sequence of 1000 x values based on population mean and standard deviation<\/span>\nx <- seq(-4, 4, length = 1000) * population_sd + population_mean\n\n#create a vector of values that shows the height of the probability distribution\n<\/span>#for each value in x<\/span>\ny <- dnorm(x, population_mean, population_sd)\n\n#plot normal distribution with customized x-axis labels\n<\/span>plot(x,y, type = \"l\", lwd = 2, axes = FALSE, xlab = \"\", ylab = \"\")\nsd_axis_bounds = 5\naxis_bounds <- seq(-sd_axis_bounds * population_sd + population_mean,\n                    sd_axis_bounds * population_sd + population_mean,\n                    by = population_sd)\naxis(side = 1, at = axis_bounds, pos = 0)<\/strong><\/pre>\n
 \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u1015\u1031\u1038\u101e\u100a\u103a-<\/span><\/p>\n
 ggplot2 \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h2>\n
 R \u1010\u103d\u1004\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u101d\u1031\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a \u1021\u1001\u103c\u102c\u1038\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103e\u102c ggplot2 \u1015\u1000\u103a\u1000\u1031\u1037\u1002\u103b\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u103c\u1004\u103a\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1024\u101e\u100a\u103a\u1019\u103e\u102c ggplot2 \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u1016\u103c\u1030\u1038\u1000\u103d\u1000\u103a\u1016\u1014\u103a\u1010\u102e\u1038\u1001\u103c\u1004\u103a\u1038\u104f\u1014\u1019\u1030\u1014\u102c\u1014\u103e\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 1- \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e = 0 \u1014\u103e\u1004\u1037\u103a \u1005\u1036\u101e\u103d\u1031\u1016\u100a\u103a\u1019\u103e\u102f = 1 \u1016\u103c\u1004\u1037\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u1016\u103c\u1030\u1038\u101e\u100a\u103a\u104b<\/strong><\/span><\/h3>\n
 \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e = 0 \u1014\u103e\u1004\u1037\u103a \u1005\u1036\u101e\u103d\u1031\u1016\u100a\u103a\u1019\u103e\u102f = 1 \u1016\u103c\u1004\u1037\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u1016\u103c\u1030\u1038\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 #install (if not already installed) and load ggplot2<\/span>\nif(!(require(ggplot2))){install.packages('ggplot2')}\n\n#generate a normal distribution plot\n<\/span>ggplot(data.frame(x = c(-4, 4)), aes(x = x)) +\nstat_function(fun = dnorm)<\/strong><\/pre>\n
 \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u1015\u1031\u1038\u101e\u100a\u103a-<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 2- ‘mtcars’ \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u101d\u1031\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a mtcars<\/em> \u1019\u103c\u103e\u102f\u1015\u103a\u101e\u103d\u1004\u103a\u1038\u1011\u102c\u1038\u101e\u1031\u102c R \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1010\u103d\u1004\u103a \u1010\u1005\u103a\u1002\u102b\u101c\u1036\u101c\u103b\u103e\u1004\u103a \u1019\u102d\u102f\u1004\u103a\u1014\u103e\u102f\u1014\u103a\u1038<\/em> \u1021\u1010\u103d\u1000\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u101d\u1031\u1019\u103e\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101e\u101b\u102f\u1015\u103a\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n
 ggplot(mtcars, aes(x = mpg)) +\nstat_function(\nfun = dnorm,\nargs = with(mtcars, c(mean = mean(mpg), sd = sd(mpg)))\n) +\nscale_x_continuous(\"Miles per gallon\")<\/strong><\/pre>\n
 \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u1015\u1031\u1038\u101e\u100a\u103a-<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
R \u1010\u103d\u1004\u103a \u101e\u102c\u1019\u102c\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u101d\u1031\u1019\u103e\u102f \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1005\u102e\u1005\u1009\u103a\u101b\u1014\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1001\u103c\u1031\u1001\u1036 R \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a ggplot2 \u1000\u1032\u1037\u101e\u102d\u102f\u1037 \u1015\u102d\u102f\u1019\u102d\u102f\u1001\u1031\u1010\u103a\u1019\u102e\u101e\u1031\u102c \u1021\u1011\u102f\u1015\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b BaseR \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u103c\u1004\u103a\u1038\u104b \u1024\u101e\u100a\u103a\u1019\u103e\u102c Base R \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u101d\u1031\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1001\u103c\u1004\u103a\u1038\u104f \u1025\u1015\u1019\u102c \u101e\u102f\u1036\u1038\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c 1- \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e = 0 \u1014\u103e\u1004\u1037\u103a \u1005\u1036\u101e\u103d\u1031\u1016\u100a\u103a\u1019\u103e\u102f = 1 \u1016\u103c\u1004\u1037\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u1016\u103c\u1030\u1038\u101e\u100a\u103a\u104b \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e = 0 \u1014\u103e\u1004\u1037\u103a \u1005\u1036\u101e\u103d\u1031\u1016\u100a\u103a\u1019\u103e\u102f = 1 \u1016\u103c\u1004\u1037\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u1016\u103c\u1030\u1038\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b #Create a sequence of 100 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"\nR - Statology \u1010\u103d\u1004\u103a \u101e\u102c\u1019\u102c\u1014\u103a\u1016\u103c\u1014\u1037\u103a\u1016\u103c\u1030\u1038\u1019\u103e\u102f\u1000\u102d\u102f 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