> Bl.gr.dat=factor(c("O","O","A","B","A","O","A","A","A","O","B","O","B","O","O","A","O","O+ ","A","A","A","A","AB","A","B","A","A","O","O","A","O","O","A","A","A","O","A","O","O",+ "AB"), levels=c("O","A","B","AB"))> table(Bl.gr.dat)Bl.gr.dat O A B AB 15 18 4 2 > cbind(table(Bl.gr.dat)) [,1]O 15A 18B 4AB 2> pie(table(Bl.gr.dat),main="Pie-Chart of Employee Blood Groups")> ?piestarting httpd help server ... done> barplot(table(Bl.gr.dat),main="Pie-Chart of Employee Blood Groups",xlab="Blood+ Groups",ylab="Number of Employees")> barplot(table(Bl.gr.dat),main="Pie-Chart of Employee Blood Groups",xlab="Blood+ Groups",ylab="Number of Employees",ylim=c(0,25))> barplot(table(Bl.gr.dat),main="Pie-Chart of Employee Blood Groups",xlab="Blood+ Groups",ylab="Number of Employees",ylim=c(0,5))> barplot(table(Bl.gr.dat),main="Pie-Chart of Employee Blood Groups",xlab="Blood+ Groups",ylab="Number of Employees",ylim=c(0,25))> age=c(34,67,40,72,37,33,42,62,49,32,52,40,31,19,68,55,57,54,37,32,54,38,20,50,56,48,35,52,29,+ 56,68,65,45,44,54,39,29,56,43,42,22,30,26,20,48,29,34,27,40,28,45,21,42,38,29,26,62,35,28,24,+ 44,46,39,29,27,40,22,38,42,39,26,48,39,25,34,56,31,60,32,24,51,69,28,27,38,56,36,25,46,50,36,+ 58,39,57,55,42,49,38,49,36,48,44)> age [1] 34 67 40 72 37 33 42 62 49 32 52 40 31 19 68 55 57 54 37 32 54 38 20 50 56 48 35 52 29 56 68 65 45 44 54 39 29 56 43 42 22 30 26 20 48 29 34 27 40 28 45 21 42 38 [55] 29 26 62 35 28 24 44 46 39 29 27 40 22 38 42 39 26 48 39 25 34 56 31 60 32 24 51 69 28 27 38 56 36 25 46 50 36 58 39 57 55 42 49 38 49 36 48 44> range(age)[1] 19 72> breaks=seq(15,75,5)> > breaks [1] 15 20 25 30 35 40 45 50 55 60 65 70 75> age.cut=cut(age, breaks, right=FALSE)> age.cut [1] [30,35) [65,70) [40,45) [70,75) [35,40) [30,35) [40,45) [60,65) [45,50) [10] [30,35) [50,55) [40,45) [30,35) [15,20) [65,70) [55,60) [55,60) [50,55) [19] [35,40) [30,35) [50,55) [35,40) [20,25) [50,55) [55,60) [45,50) [35,40) [28] [50,55) [25,30) [55,60) [65,70) [65,70) [45,50) [40,45) [50,55) [35,40) [37] [25,30) [55,60) [40,45) [40,45) [20,25) [30,35) [25,30) [20,25) [45,50) [46] [25,30) [30,35) [25,30) [40,45) [25,30) [45,50) [20,25) [40,45) [35,40) [55] [25,30) [25,30) [60,65) [35,40) [25,30) [20,25) [40,45) [45,50) [35,40) [64] [25,30) [25,30) [40,45) [20,25) [35,40) [40,45) [35,40) [25,30) [45,50) [73] [35,40) [25,30) [30,35) [55,60) [30,35) [60,65) [30,35) [20,25) [50,55) [82] [65,70) [25,30) [25,30) [35,40) [55,60) [35,40) [25,30) [45,50) [50,55) [91] [35,40) [55,60) [35,40) [55,60) [55,60) [40,45) [45,50) [35,40) [45,50)[100] [35,40) [45,50) [40,45)12 Levels: [15,20) [20,25) [25,30) [30,35) [35,40) [40,45) [45,50) ... [70,75)> age.cut=cut(age, breaks, right=True)Error in paste0(if (right) "(" else "[", ch.br[-nb], ",", ch.br[-1L], : object 'True' not found> frequency=table(age.cut)> > frequencyage.cut[15,20) [20,25) [25,30) [30,35) [35,40) [40,45) [45,50) [50,55) [55,60) [60,65) 1 7 16 10 17 13 11 8 10 3 [65,70) [70,75) 5 1 > cbind(frequency) frequency[15,20) 1[20,25) 7[25,30) 16[30,35) 10[35,40) 17[40,45) 13[45,50) 11[50,55) 8[55,60) 10[60,65) 3[65,70) 5[70,75) 1> Relative.Frequency=frequency/length(age)> cbind(Relative.Frequency) Relative.Frequency[15,20) 0.009803922[20,25) 0.068627451[25,30) 0.156862745[30,35) 0.098039216[35,40) 0.166666667[40,45) 0.127450980[45,50) 0.107843137[50,55) 0.078431373[55,60) 0.098039216[60,65) 0.029411765[65,70) 0.049019608[70,75) 0.009803922> Cumulative.Frequency=cumsum(frequency)> cbind(Cumulative.Frequency) Cumulative.Frequency[15,20) 1[20,25) 8[25,30) 24[30,35) 34[35,40) 51[40,45) 64[45,50) 75[50,55) 83[55,60) 93[60,65) 96[65,70) 101[70,75) 102> cbind(frequency,Relative.Frequency,Cumulative.Frequency) frequency Relative.Frequency Cumulative.Frequency[15,20) 1 0.009803922 1[20,25) 7 0.068627451 8[25,30) 16 0.156862745 24[30,35) 10 0.098039216 34[35,40) 17 0.166666667 51[40,45) 13 0.127450980 64[45,50) 11 0.107843137 75[50,55) 8 0.078431373 83[55,60) 10 0.098039216 93[60,65) 3 0.029411765 96[65,70) 5 0.049019608 101[70,75) 1 0.009803922 102> hist(age)> hist(age,breaks=seq(15,75,10))> hist(age,breaks=c(15,25,35,45,55,65,75)+ hist(age,breaks=c(15,25,35,45,55,65,75))Error: unexpected symbol in:"hist(age,breaks=c(15,25,35,45,55,65,75) hist"> hist(age,breaks=c(15,25,35,45,55,65,75))> VarSal=factor(c(0.11,0.17,0.11,0.15,0.10,0.11,0.21,0.20,0.14,0.14,0.23,0.25,0.07,0.09,0.10,0.10,0.19,0.11,0.19,+ 0.17,0.12,0.12,0.12,0.10,0.11,0.13,0.10,0.09,0.11,0.15,0.13,0.10,0.18,0.09,0.07,0.08,0.06,0.08,+ VarSal=factor(c(0.11,0.17,0.11,0.15,0.10,0.11,0.21,0.20,0.14,0.14,0.23,0.25,0.07,0.09,0.10,0.10,0.19,0.11,0.19,+ + s1=c(0.11,0.17,0.11,0.15,0.10,0.11,0.21,0.20,0.14,0.14,0.23,0.25,0.07,0.09,0.10,0.10,0.19,0.11,0.19,)+ 0.17,0.12,0.12,0.12,0.10,0.11,0.13,0.10,0.09,0.11,0.15,0.13,0.10,0.18,0.09,0.07,0.08,0.06,0.08,Error: unexpected numeric constant in:"s1=c(0.11,0.17,0.11,0.15,0.10,0.11,0.21,0.20,0.14,0.14,0.23,0.25,0.07,0.09,0.10,0.10,0.19,0.11,0.19,)0.17"> 0.05,0.07,0.08,0.08,0.07,0.09,0.06,0.07,0.08,0.07,0.07,0.07,0.08,0.06,0.07,0.06Error: unexpected ',' in "0.05,"> s1=c(0.11,0.17,0.11,0.15,0.10,0.11,0.21,0.20,0.14,0.14,0.23,0.25,0.07,0.09,0.10,0.10,0.19,0.11,0.19,+ 0.17,0.12,0.12,0.12,0.10,0.11,0.13,0.10,0.09,0.11,0.15,0.13,0.10,0.18,0.09,0.07,0.08,0.06,0.08,+ 0.05,0.07,0.08,0.08,0.07,0.09,0.06,0.07,0.08,0.07,0.07,0.07,0.08,0.06,0.07,0.06)> range(s1)[1] 0.05 0.25> s1 [1] 0.11 0.17 0.11 0.15 0.10 0.11 0.21 0.20 0.14 0.14 0.23 0.25 0.07 0.09 0.10[16] 0.10 0.19 0.11 0.19 0.17 0.12 0.12 0.12 0.10 0.11 0.13 0.10 0.09 0.11 0.15[31] 0.13 0.10 0.18 0.09 0.07 0.08 0.06 0.08 0.05 0.07 0.08 0.08 0.07 0.09 0.06[46] 0.07 0.08 0.07 0.07 0.07 0.08 0.06 0.07 0.06> breaks=seq(0.00,0.25,5)> breaks[1] 0> breaks=seq(0.00,0.30,0.05)> breaks[1] 0.00 0.05 0.10 0.15 0.20 0.25 0.30> s1.cut=cut(s1,breaks,right=False)Error in paste0(if (right) "(" else "[", ch.br[-nb], ",", ch.br[-1L], : object 'False' not found> s1.cut=cut(s1,breaks,right=FALSE)> s1.cut [1] [0.1,0.15) [0.15,0.2) [0.1,0.15) [0.1,0.15) [0.1,0.15) [0.1,0.15) [7] [0.2,0.25) [0.2,0.25) [0.1,0.15) [0.1,0.15) [0.2,0.25) [0.25,0.3)[13] [0.05,0.1) [0.05,0.1) [0.1,0.15) [0.1,0.15) [0.15,0.2) [0.1,0.15)[19] [0.15,0.2) [0.15,0.2) [0.1,0.15) [0.1,0.15) [0.1,0.15) [0.1,0.15)[25] [0.1,0.15) [0.1,0.15) [0.1,0.15) [0.05,0.1) [0.1,0.15) [0.1,0.15)[31] [0.1,0.15) [0.1,0.15) [0.15,0.2) [0.05,0.1) [0.05,0.1) [0.05,0.1)[37] [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1)[43] [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1)[49] [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1)Levels: [0,0.05) [0.05,0.1) [0.1,0.15) [0.15,0.2) [0.2,0.25) [0.25,0.3)> frequency=table(s1.cut)> s1.cut [1] [0.1,0.15) [0.15,0.2) [0.1,0.15) [0.1,0.15) [0.1,0.15) [0.1,0.15) [7] [0.2,0.25) [0.2,0.25) [0.1,0.15) [0.1,0.15) [0.2,0.25) [0.25,0.3)[13] [0.05,0.1) [0.05,0.1) [0.1,0.15) [0.1,0.15) [0.15,0.2) [0.1,0.15)[19] [0.15,0.2) [0.15,0.2) [0.1,0.15) [0.1,0.15) [0.1,0.15) [0.1,0.15)[25] [0.1,0.15) [0.1,0.15) [0.1,0.15) [0.05,0.1) [0.1,0.15) [0.1,0.15)[31] [0.1,0.15) [0.1,0.15) [0.15,0.2) [0.05,0.1) [0.05,0.1) [0.05,0.1)[37] [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1)[43] [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1)[49] [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1) [0.05,0.1)Levels: [0,0.05) [0.05,0.1) [0.1,0.15) [0.15,0.2) [0.2,0.25) [0.25,0.3)> frequencyS1.cut [0,0.05) [0.05,0.1) [0.1,0.15) [0.15,0.2) [0.2,0.25) [0.25,0.3) 0 24 21 5 3 1 > relative.frequency=frequency/length(age)> cbind(Relative.Frequency) Relative.Frequency[15,20) 0.009803922[20,25) 0.068627451[25,30) 0.156862745[30,35) 0.098039216[35,40) 0.166666667[40,45) 0.127450980[45,50) 0.107843137[50,55) 0.078431373[55,60) 0.098039216[60,65) 0.029411765[65,70) 0.049019608[70,75) 0.009803922> Cumulative.Frequency=cumsum(frequency)> cbind(Cumulative.Frequency)cbind(frequency,Relative.Frequency,Cumulative.Frequency)Error: unexpected symbol in "cbind(Cumulative.Frequency)cbind"> > cbind(Cumulative.Frequency)cbind(frequency,Relative.Frequency,Cumulative.FrequencyError: unexpected symbol in "cbind(Cumulative.Frequency)cbind"> cbind(Cumulative.Frequency) Cumulative.Frequency[0,0.05) 0[0.05,0.1) 24[0.1,0.15) 45[0.15,0.2) 50[0.2,0.25) 53[0.25,0.3) 54> s1=c(0.11,0.17,0.11,0.15,0.10,0.11,0.21,0.20,0.14,0.14,0.23,0.25,0.07,0.09,0.10,0.10,0.19,0.11,0.19,+ 0.17,0.12,0.12,0.12,0.10,0.11,0.13,0.10,0.09,0.11,0.15,0.13,0.10,0.18,0.09,0.07,0.08,0.06,0.08,+ 0.05,0.07,0.08,0.08,0.07,0.09,0.06,0.07,0.08,0.07,0.07,0.07,0.08,0.06,0.07,0.06)> range(s1)[1] 0.05 0.25> breaks=seq(0.025,0.275,.05)> breaks[1] 0.025 0.075 0.125 0.175 0.225 0.275> s1.cut=cut(s1,breaks,right=FALSE)> s1.cut [1] [0.075,0.125) [0.125,0.175) [0.075,0.125) [0.125,0.175) [0.075,0.125) [6] [0.075,0.125) [0.175,0.225) [0.175,0.225) [0.125,0.175) [0.125,0.175)[11] [0.225,0.275) [0.225,0.275) [0.025,0.075) [0.075,0.125) [0.075,0.125)[16] [0.075,0.125) [0.175,0.225) [0.075,0.125) [0.175,0.225) [0.125,0.175)[21] [0.075,0.125) [0.075,0.125) [0.075,0.125) [0.075,0.125) [0.075,0.125)[26] [0.125,0.175) [0.075,0.125) [0.075,0.125) [0.075,0.125) [0.125,0.175)[31] [0.125,0.175) [0.075,0.125) [0.175,0.225) [0.075,0.125) [0.025,0.075)[36] [0.075,0.125) [0.025,0.075) [0.075,0.125) [0.025,0.075) [0.025,0.075)[41] [0.075,0.125) [0.075,0.125) [0.025,0.075) [0.075,0.125) [0.025,0.075)[46] [0.025,0.075) [0.075,0.125) [0.025,0.075) [0.025,0.075) [0.025,0.075)[51] [0.075,0.125) [0.025,0.075) [0.025,0.075) [0.025,0.075)5 Levels: [0.025,0.075) [0.075,0.125) [0.125,0.175) ... [0.225,0.275)> > frequency=table(s1.cut)> frequencys1.cut[0.025,0.075) [0.075,0.125) [0.125,0.175) [0.175,0.225) [0.225,0.275) 14 25 8 5 2 > cbind(frequency) frequency[0.025,0.075) 14[0.075,0.125) 25[0.125,0.175) 8[0.175,0.225) 5[0.225,0.275) 2> Relative.Frequency=frequency/length(age)> Cumulative.Frequency=cumsum(frequency)> cbind(frequency,Relative.Frequency,Cumulative.Frequency) frequency Relative.Frequency Cumulative.Frequency[0.025,0.075) 14 0.13725490 14[0.075,0.125) 25 0.24509804 39[0.125,0.175) 8 0.07843137 47[0.175,0.225) 5 0.04901961 52[0.225,0.275) 2 0.01960784 54> hist(age)> hist(s1)> breaks=seq(0.025,0.275,.05)> hist(s1,breaks=seq(0.025,0.275,.05))> mean(age)[1] 41.2549> median(age)[1] 39.5> Bl.gr.dat=factor(c("O","O","A","B","A","O","A","A","A","O","B","O","B","O","O","A","O","O+ ","A","A","A","A","AB","A","B","A","A","O","O","A","O","O","A","A","A","O","A","O","O",+ "AB"), levels=c("O","A","B","AB"))> table(Bl.gr.dat)Bl.gr.dat O A B AB 15 18 4 2 > Bl.gr=table(as.vector(Bl.gr.dat))> names(Bl.gr)[Bl.gr == max(Bl.gr)][1] "A"> summary(age) Min. 1st Qu. Median Mean 3rd Qu. Max. 19.00 31.00 39.50 41.25 50.00 72.00 > boxplot(age)> IQR(age)[1] 19> 1.5*IQR(age)[1] 28.5> score=c(28,22,26,29,21,23,24)> boxplot(score)> score=(28,22,26,29,21,23,24,50)Error: unexpected ',' in "score=(28,"> score=c(28,22,26,29,21,23,24,50)> boxplot(score)> sd(age)[1] 12.82686> score=c(28,22,26,29,21,23,24)> sd(score)[1] 3.039424> score=c(score=c(28,22,26,29,21,23,24,25)+ sd(score)Error: unexpected symbol in:"score=c(score=c(28,22,26,29,21,23,24,25)sd"> score=c(28,22,26,29,21,23,24,50)> sd(score)[1] 9.372262> quantile(score,0.8) 80% 28.6 > quantile(score,c(.7,.8,.9)) 70% 80% 90% 27.8 28.6 35.3 > ?sd>